100+ datasets found
  1. h

    Radiology_mini

    • huggingface.co
    Updated Nov 15, 2010
    + more versions
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    Unsloth AI (2010). Radiology_mini [Dataset]. https://huggingface.co/datasets/unsloth/Radiology_mini
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 15, 2010
    Dataset authored and provided by
    Unsloth AI
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description
  2. h

    ROCOv2-radiology-mini

    • huggingface.co
    Updated May 11, 2025
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    Abhijeet Singh (2025). ROCOv2-radiology-mini [Dataset]. https://huggingface.co/datasets/GlitchGhost/ROCOv2-radiology-mini
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    Dataset updated
    May 11, 2025
    Authors
    Abhijeet Singh
    Description

    GlitchGhost/ROCOv2-radiology-mini dataset hosted on Hugging Face and contributed by the HF Datasets community

  3. M

    Mobile Mini C-Arm Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 21, 2025
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    Archive Market Research (2025). Mobile Mini C-Arm Report [Dataset]. https://www.archivemarketresearch.com/reports/mobile-mini-c-arm-282432
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global mobile mini C-arm market is experiencing robust growth, driven by advancements in image quality, portability, and ease of use. These factors are increasing adoption across various surgical specialties and healthcare settings. While precise market sizing data is unavailable, based on industry reports and comparable medical imaging segments, we can estimate the 2025 market size to be approximately $500 million. Assuming a conservative Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, the market is projected to reach nearly $1 billion by 2033. This growth is fueled by several key trends, including the rising prevalence of minimally invasive surgeries, increasing demand for point-of-care imaging, and the growing preference for smaller, more maneuverable devices that allow for better access in confined spaces. Further growth is expected from technological innovations like improved radiation dose reduction techniques and advanced image processing capabilities. However, market expansion faces certain restraints. High initial investment costs associated with purchasing and maintaining mobile mini C-arms can limit accessibility for smaller hospitals and clinics. Furthermore, concerns regarding radiation exposure, albeit mitigated by advancements in technology, may still influence adoption rates. The competitive landscape is marked by established players such as Ziehm Imaging, Hologic, FM Control, and GE Healthcare, constantly striving to enhance their product offerings and expand their market share. This competition is expected to further fuel innovation and potentially drive down prices, making the technology more accessible in the long run. Segmentation of the market by application (orthopedics, cardiovascular, etc.), device type, and end-user (hospitals, ambulatory surgical centers) offers further opportunities for focused growth within specific niches.

  4. C

    C-Arm Imaging Equipment Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 29, 2025
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    Market Report Analytics (2025). C-Arm Imaging Equipment Report [Dataset]. https://www.marketreportanalytics.com/reports/c-arm-imaging-equipment-43107
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 29, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global C-arm imaging equipment market is experiencing robust growth, driven by technological advancements, increasing prevalence of minimally invasive surgeries, and rising demand for advanced imaging solutions across various healthcare settings. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $4.2 billion by 2033. Key drivers include the growing adoption of mobile C-arms due to their portability and versatility, increasing preference for image-guided surgery, and continuous innovations leading to improved image quality and reduced radiation exposure. The market is segmented by application (hospitals/clinics, pharmaceutical companies, diagnostic centers, others) and type (mobile C-arm, fixed C-arm, mini C-arm, others), with hospitals and clinics representing the largest segment due to their high volume of surgical procedures. North America currently holds a significant market share, fueled by high healthcare expenditure and advanced medical infrastructure. However, rapidly developing economies in Asia-Pacific are expected to witness significant growth, driven by increasing healthcare investments and rising adoption rates. Market restraints include the high cost of C-arm systems, stringent regulatory approvals, and potential risks associated with ionizing radiation. Despite these challenges, the continuous development of advanced features such as 3D imaging capabilities, improved software for image processing, and integration with other medical devices are expected to propel market expansion. Key players such as Philips, GE, Siemens, and Ziehm Imaging are investing heavily in research and development to enhance their product offerings and maintain their competitive edge. The market's future hinges on the successful integration of artificial intelligence (AI) and machine learning (ML) technologies for enhanced image analysis and improved diagnostic accuracy, further driving adoption and market growth in the coming years.

  5. S

    Small Animal Imaging Equipment Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 4, 2025
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    Data Insights Market (2025). Small Animal Imaging Equipment Report [Dataset]. https://www.datainsightsmarket.com/reports/small-animal-imaging-equipment-223022
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The small animal imaging equipment market is experiencing robust growth, driven by advancements in medical research and veterinary care. The market's expansion is fueled by several key factors: the increasing prevalence of various diseases in animals requiring sophisticated diagnostic tools; the rising demand for advanced research in oncology, immunology, and genetic studies utilizing small animal models; and the growing adoption of minimally invasive procedures guided by precise imaging technologies. The market is segmented by application (cancer research, immunology, pathology, gene expression, biophotonics, food & environmental monitoring) and imaging modality (optical, radionuclide, MRI, CT, ultrasound). While precise market sizing data is unavailable, considering a plausible CAGR of 8% based on industry trends for medical imaging, and assuming a 2025 market value of $500 million (a reasonable estimate given the applications and scope), we can project significant growth over the forecast period (2025-2033). North America and Europe currently dominate the market due to higher research spending and advanced healthcare infrastructure, but the Asia-Pacific region shows high potential for future growth driven by expanding veterinary care and research initiatives. Competition is intense amongst established players like IDEXX, Esaote, and Bruker Corporation, alongside emerging companies, leading to continuous innovation and price competitiveness. The market's restraints include high equipment costs, the need for skilled professionals for operation and interpretation, and regulatory hurdles in certain regions. However, technological advancements, such as improved image resolution and reduced scan times, are offsetting these challenges. Further market growth will be shaped by the development of portable and affordable imaging systems, the integration of AI for image analysis, and the expansion of applications into areas like personalized medicine and drug discovery. This will lead to increased accessibility and wider adoption across diverse research and clinical settings. Ongoing technological advancements, coupled with a growing awareness of animal health and the need for precise diagnostics, are poised to propel the small animal imaging equipment market to substantial growth in the coming years.

  6. f

    Demographic and clinical characteristics (MMSE: Mini Mental Status...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Reza Tadayonnejad; Shaolin Yang; Anand Kumar; Olusola Ajilore (2023). Demographic and clinical characteristics (MMSE: Mini Mental Status Examination; HAM-D: Hamilton Rating Scale for Depression; GDS: Geriatric Depression Scale). [Dataset]. http://doi.org/10.1371/journal.pone.0096033.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Reza Tadayonnejad; Shaolin Yang; Anand Kumar; Olusola Ajilore
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    aThe P values were obtained by sample t-test.bThe P value was obtained by chi-square test.

  7. h

    ROCOv2-radiology

    • huggingface.co
    Updated Nov 14, 2024
    + more versions
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    Ronan L.M. (2024). ROCOv2-radiology [Dataset]. http://doi.org/10.57967/hf/3506
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 14, 2024
    Authors
    Ronan L.M.
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    ROCOv2: Radiology Object in COntext version 2

      Introduction
    

    ROCOv2 is a multimodal dataset consisting of radiological images and associated medical concepts and captions extracted from the PMC Open Access Subset. It is an updated version of the ROCO dataset, adding 35,705 new images and improving concept extraction and filtering.

      Dataset Overview
    

    The ROCOv2 dataset contains 79,789 radiological images, each with a corresponding caption and medical concepts. The… See the full description on the dataset page: https://huggingface.co/datasets/eltorio/ROCOv2-radiology.

  8. g

    Automated quality control of small animal MR neuroimaging data

    • doi.gin.g-node.org
    Updated Jan 25, 2024
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    Aref Kalantari; Mehrab Shahbazi; Marc Schneider; Victor Vera Frazão; Avnish Bhattrai; Lorenzo Carnevale; Yujian Diao; Bart A. A. Franx; Francesco Gammaraccio; Lisa-Marie Goncalves; Susan Lee; Esther M. van Leeuwen; Annika Michalek; Susanne Mueller; Alejandro Rivera Olvera; Daniel Padro; Adam C. Raikes; Mohamed Kotb Selim; Annette van der Toorn; Federico Varriano; Roël Vrooman; Patricia Wenk; H Elliott Albers; Philipp Boehm-Sturm; Eike Budinger; Santiago Canals; Silvia De Santis; Roberta Diaz Brinton; Rick M. Dijkhuizen; Elisenda Eixarch; Gianluigi Forloni; Joanes Grandjean; Khan Hekmatyar; Russell E. Jacobs; Ileana Jelescu; Nyoman D. Kurniawan; Giuseppe Lembo; Dario Livio Longo; Naomi S. Sta Maria; Edoardo Micotti; Emma Muñoz-Moreno; Pedro Ramos-Cabrer; Wilfried Reichardt; Guadalupe Soria; Giovanna D. Ielacqua; Markus Aswendt (2024). Automated quality control of small animal MR neuroimaging data [Dataset]. http://doi.org/10.12751/g-node.q82cjj
    Explore at:
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    Department of Experimental Neurology and Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany; Charité 3R | Replace, Reduce, Refine, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; and NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité-Universitätsmedizin Berlin, Berlin, Germany
    IRCCS INM Neuromed, Department of AngioCardioNeurology and Translational Medicine, Pozzilli, Italy
    Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián, Spain
    Leibniz Institute for Neurobiology (LIN), Combinatorial Neuroimaging Core Facility (CNI), Magdeburg, Germany
    Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands, and Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
    Center for Behavioral Neuroscience, Neuroscience Institute, Advanced Translational Imaging Facility, Georgia State University, Atlanta, Georgia, USA
    Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
    IRCCS INM Neuromed, Department of AngioCardioNeurology and Translational Medicine, Pozzilli, Italy, and Sapienza University of Rome, Department of Molecular Medicine, Rome, Italy
    Instituto de Neurociencias, CSIC/UMH, San Juan de Alicante, 03550 Alicante, Spain
    Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR), Turin, Italy
    BCNatal Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Universitat de Barcelona; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); and Centre for Biomedical Research on Rare Diseases (CIBER-ER), Spain
    Biomedical MR Imaging and Spectroscopy group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
    Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
    CIBER de BioingenierĂ­a, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, and Laboratory of Surgical and Experimental Neuroanatomy, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
    Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
    Preclinical Research Center (PRC), Max-DelbrĂĽck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
    Ikerbasque, Basque Foundation for Science, Bilbao, Spain
    Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Australia
    University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany
    Hamedan University of Technology, Faculty of Medical Engineering, Hamedan, Iran
    Molecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy
    Laboratory of Surgical and Experimental Neuroanatomy, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
    Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, and CIBM Center for Biomedical Imaging, Lausanne, Switzerland
    MRI Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
    Medical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
    Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Neuroscience, Milan, Italy
    Authors
    Aref Kalantari; Mehrab Shahbazi; Marc Schneider; Victor Vera Frazão; Avnish Bhattrai; Lorenzo Carnevale; Yujian Diao; Bart A. A. Franx; Francesco Gammaraccio; Lisa-Marie Goncalves; Susan Lee; Esther M. van Leeuwen; Annika Michalek; Susanne Mueller; Alejandro Rivera Olvera; Daniel Padro; Adam C. Raikes; Mohamed Kotb Selim; Annette van der Toorn; Federico Varriano; Roël Vrooman; Patricia Wenk; H Elliott Albers; Philipp Boehm-Sturm; Eike Budinger; Santiago Canals; Silvia De Santis; Roberta Diaz Brinton; Rick M. Dijkhuizen; Elisenda Eixarch; Gianluigi Forloni; Joanes Grandjean; Khan Hekmatyar; Russell E. Jacobs; Ileana Jelescu; Nyoman D. Kurniawan; Giuseppe Lembo; Dario Livio Longo; Naomi S. Sta Maria; Edoardo Micotti; Emma Muñoz-Moreno; Pedro Ramos-Cabrer; Wilfried Reichardt; Guadalupe Soria; Giovanna D. Ielacqua; Markus Aswendt
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Dataset funded by
    Ministry of Economy and Finance
    Horizon Europe programs CANDY under grant agreement nos. 847818
    NIH/National Institute on Aging P01AG026572
    Spanish Generalitat Valenciana Government
    SNSF Eccellenza PCEFP2_194260
    Australian National Imaging Facility (NIF)
    Marie Skłodowska-Curie-COFUND agreement
    Center for Innovation in Brain Science
    CIBM Center for Biomedical Imaging of the UNIL
    NIH S10 OD025016
    la Caixa Foundation
    Charité 3R | Replace
    European Union's Horizon 2020 research and innovation program EOSC-Life—Providing an open collaborative space for digital biology in Europe
    Dutch Research Council
    Italian Minister of Health
    Queensland NMR Network (QNN)
    Friebe Foundation
    Spanish Research Agency
    German Federal Ministry of Education and Research (BMBF) under the ERA-NET NEURON scheme
    DFG
    DFG project BO 4484/2-1 and EXC-2049-390688087 NeuroCure
    Italian Ministry for Education and Research (FOE funding to the Euro-BioImaging Multi-Modal Molecular Imaging Italian Node)
    Description

    MRI is a valuable tool for studying brain structure and function in animal and clinical studies. With the growth of public MRI repositories, access to data has finally become easier. However, filtering large data sets for potential poor quality outliers can be a challenge. We present AIDAqc, a machine learning-assisted automated Python-based command-line tool for the quality assessment of small animal MRI data. Quality control features include signal-to-noise ratio (SNR), temporal SNR, and motion. All features are automatically calculated and no regions of interest are needed. Automated outlier detection is based on the combination of interquartile range and the machine learning methods one-class support vector machine, isolation forest, local outlier factor, and elliptic envelope. AIDAqc was challenged in a large heterogeneous dataset collected from 18 international laboratories, including data from mice, rats, rabbits, hamsters, and gerbils, obtained with different hardware and at different field strengths. The results show that the manual inter-rater variability (mean Fleiss Kappa score 0.17) is high when identifying poor quality data. A direct comparison of AIDAqc results therefore showed only low to moderate concordance. In a manual post-hoc validation of AIDAqc output, agreement was high (>70%). The outlier data can have a significant impact on further post-processing, as shown in representative functional and structural connectivity analysis. In summary, this pipeline optimized for small animal MRI provides researchers with a valuable tool to efficiently and effectively assess the quality of their MRI data, which is essential for improved reliability and reproducibility.

  9. Picture Archiving And Communication System Market Analysis North America,...

    • technavio.com
    pdf
    Updated Oct 19, 2024
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    Technavio (2024). Picture Archiving And Communication System Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, Germany, Japan, China, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/picture-archiving-and-communication-system-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2024 - 2028
    Area covered
    United Kingdom, United States
    Description

    Snapshot img

    Picture Archiving And Communication System Market Size 2024-2028

    The picture archiving and communication system market size is forecast to increase by USD 1.25 billion, at a CAGR of 5.5% between 2023 and 2028.

    The market has gained significant traction in the healthcare sector due to the digitalization of medical records and the need for secure, efficient communication between departments. The market is driven by various factors, including government initiatives encouraging IT adoption in healthcare and the emergence of cloud-based PACS. Medical staff can easily access patient diagnoses from physical film archives, enabling faster and more accurate diagnoses. The demand for integrated teleradiology networks is driving the market penetration of mid-end PACS. The transformation in healthcare IT is further fueling their adoption. Advanced imaging technologies, such as ultrasound and digital radiography, generate vast amounts of data, making PACS an essential tool for managing and sharing this information.
    

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The market is witnessing significant growth due to the increasing adoption of digital images in medical technology. This shift from manual files and physical storage systems to electronic archives is revolutionizing the healthcare industry by enabling secure storage, digital transmission, and remote access to patient images. Digital images play a crucial role in optimum care delivery, allowing physicians to access and analyze ultrasound images, intervention reports, and other diagnostic data from various hardware imaging machines. These digital images are essential for monitoring disease progression and making informed decisions, ultimately improving patient outcomes.
    In addition, secure storage is a fundamental aspect of PACS, ensuring the confidentiality and integrity of patient images. Servers and workstations are used to store these images, often with off-site storage as a backup solution. A secure network is essential for transmitting these images between healthcare providers, ensuring HIPAA compliance and maintaining patient privacy. Physicians can access these images from various devices, including computers, workstations, and mobile devices, enabling them to make informed decisions anytime, anywhere. This remote access improves workflow efficiency and allows for timely interventions, ultimately leading to better patient care. Cloud-based PACS solutions have gained popularity due to their ability to provide on-demand access to patient images through an internet connection.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Mid-end PACS
      Enterprise PACS
      Mini PACS
    
    
    Application
    
      Radiology PACS
      Cardiology PACS
      Pathology PACS
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
    
    
      Asia
    
        China
        Japan
    
    
      Rest of World (ROW)
    

    By Product Insights

    The mid-end PACS segment is estimated to witness significant growth during the forecast period.
    

    The mid-level Picture Archiving and Communication System (PACS) segment is experiencing significant growth in the global market. Mid-end PACS cater to the needs of small hospitals and medical centers, enabling them to connect with multi-modality medical imaging systems. The affordability of mid-level PACS contributes to their increasing popularity. Cloud-based applications play a crucial role in collating medical imaging data, making them an attractive option for healthcare providers.

    However, challenges remain, such as the integration of multi-modality imaging systems using cloud applications and the migration of data. The large amount of data migration poses risks to hardware and requires careful handling to prevent potential issues. Despite these challenges, the future of PACS remains promising as digital transmission and secure storage continue to revolutionize medical technology.

    Get a glance at the market report of share of various segments Request Free Sample

    The mid-end PACS segment was valued at USD 2.61 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 53% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions Request Free Sample

    The market in the Americas is witnessing significant growth, with the US being the major contributor in 2023. The shift towards digitalization in healthcare infrastructure and regulat

  10. Estimated number of radiology centers in India 2023, by institution type

    • statista.com
    Updated May 20, 2025
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    Statista (2025). Estimated number of radiology centers in India 2023, by institution type [Dataset]. https://www.statista.com/statistics/1469963/india-radiology-centers-by-institution/
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    India
    Description

    In 2023, standalone labs had the highest estimate of radiology centers in India. On the other hand, small and medium private hospitals had about four thousand radiology centers. Some private hospitals are Park Hospitals, Paras hospitals, and Breach Candy Hospital Trust.

  11. S

    Surgical Imaging Devices Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 30, 2025
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    Market Report Analytics (2025). Surgical Imaging Devices Report [Dataset]. https://www.marketreportanalytics.com/reports/surgical-imaging-devices-45896
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global surgical imaging devices market is experiencing robust growth, driven by the increasing prevalence of minimally invasive surgeries, technological advancements in imaging techniques, and the rising demand for improved surgical precision. The market, estimated at $5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $8.5 billion by 2033. Key growth drivers include the adoption of advanced imaging modalities like mobile C-arms and mini C-arms, offering enhanced visualization and real-time feedback during procedures. The orthopedic and trauma segment holds a significant market share, followed by neurosurgery and cardiovascular applications. Geographic expansion, particularly in emerging economies with growing healthcare infrastructure, further fuels market expansion. However, high device costs, stringent regulatory approvals, and the potential for radiation exposure pose significant challenges to market growth.
    The market segmentation reveals a strong preference for mobile C-arms due to their portability and flexibility. Mini C-arms are also gaining traction due to their reduced size and improved maneuverability in confined spaces. Major players like GE Healthcare, Siemens, and Ziehm are actively investing in research and development to enhance image quality, reduce radiation exposure, and improve the overall user experience. Competitive landscape analysis suggests a focus on technological innovation and strategic partnerships to expand market reach and maintain a competitive edge. Regional variations exist, with North America and Europe currently dominating the market, while the Asia-Pacific region demonstrates significant growth potential driven by increasing healthcare expenditure and a rising number of surgical procedures.

  12. A

    Abdominal Cavity Surgical Imaging Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 14, 2025
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    Data Insights Market (2025). Abdominal Cavity Surgical Imaging Report [Dataset]. https://www.datainsightsmarket.com/reports/abdominal-cavity-surgical-imaging-575062
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global abdominal cavity surgical imaging market is experiencing robust growth, driven by the increasing prevalence of minimally invasive surgical procedures, advancements in imaging technology offering enhanced visualization and precision, and a rising geriatric population susceptible to abdominal conditions. The market, estimated at $2.5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 7% throughout the forecast period (2025-2033), reaching an estimated value of $4.5 billion by 2033. Key market drivers include the integration of advanced imaging modalities like mobile and mini C-arms into surgical workflows, facilitating real-time visualization and reducing procedural complications. Technological advancements leading to improved image quality, reduced radiation exposure, and enhanced portability are further fueling market expansion. The segment dominated by mobile C-arms, owing to their versatility and ease of use across various surgical settings. Hospitals and clinics represent the largest application segments, driven by the high volume of surgical procedures performed in these settings. Geographical analysis indicates strong growth in North America and Europe, attributed to advanced healthcare infrastructure and high adoption rates of minimally invasive surgical techniques. However, market expansion is also witnessed in Asia-Pacific, driven by increasing healthcare expenditure and rising awareness regarding minimally invasive surgical options. Competitive rivalry among established players such as GE Healthcare, Siemens, Philips, and Ziehm Imaging, along with emerging players, further stimulates market innovation and expansion. Despite the positive growth outlook, several restraints impact market development. High initial investment costs associated with purchasing and maintaining advanced imaging systems might deter smaller healthcare facilities. Furthermore, stringent regulatory approvals and the potential for radiation exposure necessitate cautious implementation and continued development of radiation-reducing technologies. Despite these challenges, ongoing technological innovations, coupled with the advantages offered by minimally invasive surgery, will continue to propel the market toward substantial growth. The increasing adoption of robotic-assisted surgery, which often integrates imaging systems, represents a significant market opportunity in the long-term. Future market trends will likely focus on the development of AI-powered imaging analysis, improved image resolution, and minimally invasive surgical techniques which reduce overall procedure times.

  13. Data from: Subject characteristics.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Eric Westman; Lena Cavallin; J-Sebastian Muehlboeck; Yi Zhang; Patrizia Mecocci; Bruno Vellas; Magda Tsolaki; Iwona Kłoszewska; Hilkka Soininen; Christian Spenger; Simon Lovestone; Andrew Simmons; Lars-Olof Wahlund (2023). Subject characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0022506.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Eric Westman; Lena Cavallin; J-Sebastian Muehlboeck; Yi Zhang; Patrizia Mecocci; Bruno Vellas; Magda Tsolaki; Iwona Kłoszewska; Hilkka Soininen; Christian Spenger; Simon Lovestone; Andrew Simmons; Lars-Olof Wahlund
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data are represented as mean ± standard deviation. AD = Alzheimer's disease, MCI = Mild Cognitive Impairment, CTL = healthy control, Education in years, MMSE = Mini Mental State Examination, ADAS1 = Word list non-learning (mean), CDR = Clinical Dementia Rating.

  14. M

    Mobile C-arm X-ray Generator Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 16, 2025
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    Archive Market Research (2025). Mobile C-arm X-ray Generator Report [Dataset]. https://www.archivemarketresearch.com/reports/mobile-c-arm-x-ray-generator-330218
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global mobile C-arm X-ray generator market is experiencing robust growth, projected to reach a market size of $19 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 4.7% from 2019 to 2033. This growth is fueled by several key factors. Technological advancements leading to smaller, lighter, and more portable systems are expanding applications in various settings, including operating rooms, emergency departments, and even outpatient clinics. The increasing demand for minimally invasive surgical procedures, coupled with the need for real-time imaging during these procedures, significantly contributes to market expansion. Furthermore, the rising prevalence of chronic diseases requiring frequent imaging and the growing adoption of image-guided interventions are driving demand for mobile C-arm X-ray generators. The segment encompassing high-frequency X-ray generators is anticipated to dominate the market due to their superior image quality and reduced radiation exposure compared to low-frequency counterparts. Mini C-arms currently hold a significant market share, but large C-arms are expected to see growth driven by increasing use in complex surgical procedures. The market's geographic landscape shows strong regional variations. North America and Europe are currently the leading markets, driven by advanced healthcare infrastructure and high adoption rates of minimally invasive surgical techniques. However, Asia Pacific is predicted to witness the fastest growth during the forecast period, owing to factors such as increasing healthcare spending, improving healthcare infrastructure, and rising disposable incomes. While regulatory hurdles and high initial investment costs can present challenges, the overall market outlook remains positive, driven by technological innovation and increasing demand for efficient and precise image-guided procedures across diverse healthcare settings. The presence of established players like Siemens, Philips, and GE, alongside emerging competitors, fosters innovation and competition, shaping the market's trajectory.

  15. S

    Small-area Flat-panel X-ray Detectors Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 25, 2025
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    Archive Market Research (2025). Small-area Flat-panel X-ray Detectors Report [Dataset]. https://www.archivemarketresearch.com/reports/small-area-flat-panel-x-ray-detectors-466890
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for small-area flat-panel X-ray detectors is experiencing robust growth, projected to reach $213.2 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.5% from 2025 to 2033. This expansion is driven by several key factors. Advancements in detector technology, such as improved image quality, higher sensitivity, and reduced radiation dose, are making these detectors increasingly attractive for various applications. The rising demand for minimally invasive procedures and point-of-care diagnostics, coupled with the increasing prevalence of chronic diseases requiring frequent imaging, further fuels market growth. Technological innovations enabling faster image acquisition and reduced processing time contribute to improved workflow efficiency in healthcare settings, another significant driver. Furthermore, the integration of these detectors into advanced imaging systems, like portable X-ray units and specialized medical equipment, expands their market reach and application versatility. Leading companies like Varian Medical Systems, PerkinElmer, and Canon are continuously investing in research and development to enhance the capabilities and broaden the application scope of small-area flat-panel X-ray detectors, contributing to the overall market expansion. The market's segmentation reveals a strong presence across diverse geographical regions. While precise regional breakdowns are unavailable, it's expected that North America and Europe will hold significant shares, driven by robust healthcare infrastructure, advanced technological adoption, and a high prevalence of target diseases. However, rapid economic development and improving healthcare systems in Asia-Pacific and other emerging markets present significant growth opportunities. Restraints to market growth include the relatively high cost of these detectors compared to traditional technologies and the need for specialized training for effective operation and maintenance. Nevertheless, the ongoing technological advancements and increasing demand for improved diagnostic capabilities are projected to outweigh these limitations, ensuring continued market expansion over the forecast period.

  16. S

    Small Animal Imaging In Vivo Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 24, 2025
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    Data Insights Market (2025). Small Animal Imaging In Vivo Report [Dataset]. https://www.datainsightsmarket.com/reports/small-animal-imaging-in-vivo-1763967
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The small animal in vivo imaging market is experiencing robust growth, driven by the increasing demand for preclinical research and drug discovery. The market's expansion is fueled by several key factors, including the rising prevalence of chronic diseases necessitating advanced research methodologies, technological advancements in imaging modalities (such as optical imaging, PET/CT, and MRI), and the growing adoption of personalized medicine approaches. These advancements offer improved image resolution, faster acquisition times, and enhanced sensitivity, leading to more efficient and accurate preclinical studies. Furthermore, the increasing availability of sophisticated image analysis software facilitates faster and more precise data interpretation, contributing to the overall market growth. We estimate the market size in 2025 to be around $1.5 billion, with a Compound Annual Growth Rate (CAGR) of approximately 8% from 2025 to 2033, projecting a market value exceeding $3 billion by 2033. This growth is expected to be relatively consistent across various regions, with North America and Europe maintaining significant market share due to established research infrastructure and high healthcare spending. However, the market also faces certain challenges. High equipment costs, the need for specialized expertise in image acquisition and analysis, and regulatory hurdles related to new imaging technologies can restrain market growth to some extent. Despite these factors, the significant advantages offered by in vivo imaging in accelerating drug development and improving the efficacy of preclinical studies are expected to outweigh these limitations, leading to sustained market expansion in the long term. The market segmentation reflects the diversity of imaging techniques available, with each modality catering to specific research needs and applications. The competitive landscape is characterized by a mix of established players and emerging companies constantly innovating to enhance image quality, functionality, and accessibility of their technologies.

  17. S

    Small-area Flat-panel X-ray Detectors Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 5, 2025
    + more versions
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    Market Report Analytics (2025). Small-area Flat-panel X-ray Detectors Report [Dataset]. https://www.marketreportanalytics.com/reports/small-area-flat-panel-x-ray-detectors-61797
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 5, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for small-area flat-panel X-ray detectors is experiencing robust growth, projected to reach $241 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.7% from 2025 to 2033. This expansion is driven by several key factors. The increasing demand for advanced medical imaging technologies, particularly in minimally invasive procedures and point-of-care diagnostics, fuels the adoption of these detectors. Their superior image quality, compact size, and ease of integration into various systems are significant advantages over traditional X-ray detectors. Furthermore, technological advancements leading to improved resolution, sensitivity, and reduced radiation dose are further propelling market growth. Growth is also spurred by rising prevalence of chronic diseases requiring frequent imaging, and the increasing adoption of digital X-ray systems in dental, veterinary, and security applications. The market is segmented by application (medical, dental, security, veterinary, industrial) and type (fixed, portable), with the medical segment dominating due to the widespread use in diverse medical imaging procedures. Despite the positive outlook, the market faces some challenges. High initial investment costs for advanced detectors can be a barrier to entry, particularly for smaller clinics and facilities in developing regions. Furthermore, stringent regulatory approvals and the need for skilled technicians to operate and maintain the equipment pose certain restraints. However, ongoing technological innovation, decreasing costs, and the increasing availability of financing options are likely to mitigate these challenges. The competitive landscape is characterized by both established players and emerging companies, leading to continuous product innovation and market diversification. Regional growth will vary, with North America and Europe likely to retain dominant market shares due to higher healthcare expenditure and technological advancements, while the Asia-Pacific region is expected to witness significant growth driven by increasing healthcare infrastructure development and rising disposable incomes.

  18. Small Animal Imaging Market Size, Share & 2030 Growth Trends Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 25, 2025
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    Mordor Intelligence (2025). Small Animal Imaging Market Size, Share & 2030 Growth Trends Report [Dataset]. https://www.mordorintelligence.com/industry-reports/small-animal-imaging-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 25, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Small Animal Imaging Market Report is Segmented by Modality (Optical Imaging, Micro-MRI, Micro-CT, Micro-PET, Micro-SPECT, and More), Component (Instruments, Reagents & Probes, and More), Application (Oncology, Neurology, Cardiology, and More), End User (Pharmaceutical & Biotechnology Companies, Academic & Research Institutes, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

  19. c

    Small Animal Imaging Market - Price, Size, Share & Growth

    • coherentmarketinsights.com
    Updated Sep 17, 2022
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    Coherent Market Insights (2022). Small Animal Imaging Market - Price, Size, Share & Growth [Dataset]. https://www.coherentmarketinsights.com/market-insight/small-animal-imaging-market-692
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    Dataset updated
    Sep 17, 2022
    Dataset authored and provided by
    Coherent Market Insights
    License

    https://www.coherentmarketinsights.com/privacy-policyhttps://www.coherentmarketinsights.com/privacy-policy

    Time period covered
    2025 - 2031
    Area covered
    Global
    Description

    Small Animal Imaging Market is growing at a CAGR of 7.10% over the next 7 years. Bruker, Aspect Imaging Ltd, TriFoil Imaging, LI-COR, Inc., FUJIFILM Holdings Corporation, Promega Corporation and many more major companies operating in this Market.

  20. Comparison of MRI devices and results on cardiac function in small animals...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Ulrich Grabmaier; Hans D. Theiss; Alexandra Keithahn; Julia Kreiner; Christoph Brenner; Bruno Huber; Christine von der Helm; Lisa Gross; Karin Klingel; Wolfgang-M. Franz; Stefan Brunner (2023). Comparison of MRI devices and results on cardiac function in small animals and in humans. [Dataset]. http://doi.org/10.1371/journal.pone.0094615.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ulrich Grabmaier; Hans D. Theiss; Alexandra Keithahn; Julia Kreiner; Christoph Brenner; Bruno Huber; Christine von der Helm; Lisa Gross; Karin Klingel; Wolfgang-M. Franz; Stefan Brunner
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

     = LVEF evaluation in human populations;y = yes, n = no; SD = standard deviation;* = mean relative SD in % of LVEF of the control group only.

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Unsloth AI (2010). Radiology_mini [Dataset]. https://huggingface.co/datasets/unsloth/Radiology_mini

Radiology_mini

unsloth/Radiology_mini

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 15, 2010
Dataset authored and provided by
Unsloth AI
License

Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
License information was derived automatically

Description
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