Malikeh1375/medical-question-answering-datasets dataset hosted on Hugging Face and contributed by the HF Datasets community
This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.
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A 100,000-patient database that contains in total 100,000 virtual patients, 361,760 admissions, and 107,535,387 lab observations.
AI Medical Chatbot Dataset
This is an experimental Dataset designed to run a Medical Chatbot It contains at least 250k dialogues between a Patient and a Doctor.
Playground ChatBot
ruslanmv/AI-Medical-Chatbot For furter information visit the project here: https://github.com/ruslanmv/ai-medical-chatbot
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With recent advances in machine learning, semantic segmentation algorithms are becoming increasingly general purpose and translatable to unseen tasks. Many key algorithmic advances in the field of medical imaging are commonly validated on a small number of tasks, limiting our understanding of the generalisability of the proposed contributions. A model which works out-of-the-box on many tasks, in the spirit of AutoML, would have a tremendous impact on healthcare. The field of medical imaging is also missing a fully open source and comprehensive benchmark for general purpose algorithmic validation and testing covering a large span of challenges, such as: small data, unbalanced labels, large-ranging object scales, multi-class labels, and multimodal imaging, etc. This challenge and dataset aims to provide such resource through the open sourcing of large medical imaging datasets on several highly different tasks, and by standardising the analysis and validation process.
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The global medical database software market is experiencing robust growth, driven by the increasing adoption of electronic health records (EHRs) and the rising need for efficient health information management (HIM) systems. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key factors: the increasing digitization of healthcare, the growing demand for data-driven insights to improve patient care and operational efficiency, and the expanding adoption of cloud-based solutions offering scalability and accessibility. Pharmaceutical companies and academic/research institutions are significant drivers, leveraging these systems for drug discovery, clinical trials management, and advanced research initiatives. However, challenges such as data security concerns, high implementation costs, and the need for robust interoperability between different systems pose restraints to market growth. The market is segmented by software type (EHR, HIM) and application (pharmaceutical companies, academic institutions, others), providing diverse opportunities for specialized vendors. Geographic expansion continues, with North America and Europe currently holding significant market share, but growth is anticipated across Asia-Pacific and other regions as healthcare infrastructure modernizes. The competitive landscape is dynamic, with established players like NextGen Healthcare and emerging companies like Pabau and EHR Your Way vying for market share. The success of individual vendors depends on factors including the scalability of their solutions, the depth of their data analytics capabilities, and the strength of their customer support network. The market's trajectory is heavily influenced by government regulations regarding data privacy and interoperability, the ongoing evolution of healthcare technology, and the increasing focus on personalized medicine. Further growth is likely to be seen in areas such as AI-powered diagnostics, predictive analytics, and advanced data visualization tools integrated within medical databases.
Field Name | Data Type | Description |
Statefp | Number | US Census Bureau unique identifier of the state |
Countyfp | Number | US Census Bureau unique identifier of the county |
Countynm | Text | County name |
Tractce | Number | US Census Bureau unique identifier of the census tract |
Geoid | Number | US Census Bureau unique identifier of the state + county + census tract |
Aland | Number | US Census Bureau defined land area of the census tract |
Awater | Number | US Census Bureau defined water area of the census tract |
Asqmi | Number | Area calculated in square miles from the Aland |
MSSAid | Text | ID of the Medical Service Study Area (MSSA) the census tract belongs to |
MSSAnm | Text | Name of the Medical Service Study Area (MSSA) the census tract belongs to |
Definition | Text | Type of MSSA, possible values are urban, rural and frontier. |
TotalPovPop | Number | US Census Bureau total population for whom poverty status is determined of the census tract, taken from the 2020 ACS 5 YR S1701 |
Medical Technologies Market Size 2025-2029
The medical technologies market size is forecast to increase by USD 346.4 billion, at a CAGR of 8% between 2024 and 2029.
The market is experiencing significant growth, driven by the increasing prevalence of diseases and the growing use of connected devices and technologies. Public health surveillance and digital therapeutics are transforming disease prevention and treatment, while speech therapy and behavioral health technologies are addressing the growing need for mental health services. The advancements in medical technology are enabling early disease detection and diagnosis, leading to improved patient outcomes and reduced healthcare costs. Furthermore, the integration of technology in healthcare is enhancing the overall patient experience and facilitating remote monitoring and telemedicine services. However, the market faces challenges in the form of declining reimbursement and cost containment measures.
Additionally, regulatory requirements and compliance issues can pose significant challenges for market participants. Companies must navigate these obstacles by focusing on innovation, cost reduction, and regulatory compliance to remain competitive and capitalize on the market's potential. As healthcare costs continue to rise, payers are increasingly looking for cost-effective solutions, which may limit the adoption of advanced medical technologies. Medical regulations and data analytics shape the industry, ensuring compliance and informed decision-making.
What will be the Size of the Medical Technologies Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in various sectors. Supply chain management optimizes the distribution of surgical instruments, therapeutic devices, and pharmaceutical research products. Robotics in surgery and laser technology enhance minimally invasive procedures, while healthcare IT streamlines medical billing and insurance claims processing. Regulatory affairs ensure safety and efficacy of medical devices, from implantable devices to drug delivery systems. Patient engagement is facilitated through wearable sensors and remote patient monitoring, enabling preventive medicine and chronic disease management. Predictive analytics and precision medicine offer personalized treatment plans, revolutionizing disease management.
Sterilization techniques and hospital management systems maintain high standards of hygiene and efficiency. Medical lasers and radiation therapy provide precise interventions, while medical imaging software and diagnostic imaging offer accurate diagnoses. The ongoing unfolding of market activities shapes the landscape of medical technologies, with distribution channels and public health remaining key considerations. Regenerative medicine holds great potential, with ongoing clinical trials and nanotechnology in medicine pushing the boundaries of healing.
How is this Medical Technologies Industry segmented?
The medical technologies industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Medical devices
In-vitro diagnostics
End-user
Hospitals
Clinics
Others
Component
Hardware
Services
Software
Geography
North America
US
Canada
Mexico
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
Rest of World (ROW)
By Application Insights
The medical devices segment is estimated to witness significant growth during the forecast period. The medical devices market encompasses instruments, apparatus, appliances, materials, and articles utilized for disease diagnosis, prevention, monitoring, treatment, and relief. Major categories include therapeutic and surgical devices, patient monitoring and diagnostic devices (PMDMIDs), and other medical devices. Factors fueling market expansion include the increasing disease prevalence and related risk factors, an aging population, public and private initiatives to promote health awareness, and escalating healthcare expenditures. For instance, the European Union is projected to have approximately 22.4% of its population aged 65 and above by 2024. Quality control is a critical aspect of medical devices, ensuring their safety and effectiveness.
Robotics in surgery and minimally invasive procedures enhance precision and reduce complications. Medical billing and insurance claims processing streamline financial transactions. Medical lasers, pharmaceutical research, and drug delivery systems advance treatment modalities. Health informatics, rem
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Medical Technology and Innovation Statistics: In recent years, there has been a remarkable acceleration in the pace of medical technology advancements. These are driven by factors such as technological advancements, increased funding for research and development, and the growing demand for innovative solutions to address healthcare challenges.
These advancements have the potential to revolutionize various aspects of healthcare delivery, from diagnostics and treatment to patient monitoring and disease prevention.
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The largest Arabic Healthcare Q&A dataset as we know (MAQA) was collected from various websites. The dataset consists of more than 430k questions.
The U.S. market for medical devices is the largest in the world. At an estimated $83 billion in 2006, this market represents nearly half the global total and is growing at 6 percent annually ? about double the rate of U.S. GDP. With the advent of microprocessors, miniaturization of electronic circuits, wired and wireless digital networking, and new materials and manufacturing processes, older generations of mechanical and analog electromechanical devices used in patient diagnosis, monitoring, and treatment have largely been replaced by devices and systems based on information technologies across the diverse array of contemporary medical devices...
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The AI Medical Imaging Market is Segments by Offering (Software Tools/Platform, Services and More), Imaging Modality (X-Ray, Computed Tomography, and More), Application (Oncology, Neurology and More), Deployment Model ( On-Premise, Cloud / Web-Based and More), End User (Hospitals and Clinics, Diagnostic Imaging Centers and More), and Geography.
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Medical Coding Market size was valued at USD 31,170.85 Million in 2023 and is projected to reach USD 53,654.53 Million by 2031, at a CAGR of 8.07% from 2024 to 2031.
Global Medical Coding Market Overview
Global healthcare expenditure has been on a steady rise in recent years, driven by factors such as an aging population, the prevalence of chronic diseases, and the adoption of advanced medical technologies. The global expansion of healthcare services, including hospitals, clinics, and specialized medical facilities, increases the demand for accurate medical coding to manage billing, patient records, and healthcare analytics efficiently. According to American Hospital Association, there were around 33.67 million patient’s admissions in the 6120 hospitals in the United States. According to the OECD Health Statistics 2023, the USA leads with a health expenditure to GDP ratio of 16.6% in 2022, followed by Germany at 12.7% and France at 12.1%. In the USA, healthcare spending surged to USD 4.5 trillion in 2022, reflecting a 4.1% growth, outpacing the 3.2% increase in 2021, as reported by the U.S. Centers for Medicare & Medicaid Services. The rise in the number of insured individuals means more people are accessing healthcare services. As healthcare utilization increases, the demand for accurate medical coding to process insurance claims also grows. Hospitals and other healthcare providers are constantly seeking ways to improve their billing efficiency and reduce administrative costs.
Medical coding plays a vital role in this process by ensuring that claims are submitted accurately and reimbursed promptly. Efficient coding systems can help healthcare providers to reduce claim denials and delays in payments. The lack of skilled professionals is a significant restraint on the growth of the Global Medical Coding Market. The medical coding industry requires specialized knowledge and expertise to navigate the complex systems and continuously evolving coding guidelines. Healthcare organizations, which are the primary end-users of medical coding solutions, often struggle to maintain a sufficient pool of skilled medical coding professionals within their internal workforce. The adoption of advanced technologies such as artificial intelligence (AI), machine learning, and natural language processing (NLP) is revolutionizing the global Medical Coding Market, creating significant opportunities for growth and efficiency. As healthcare organizations continue to grapple with the challenges posed by the shortage of skilled medical coding professionals, the integration of innovative technological solutions has emerged as a promising avenue to enhance the efficiency and accuracy of the coding process.
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The market was valued at USD 3,889.1 Million in 2025 and grow with a CAGR of 8.2% during the forecast period amounting to the market to USD 8,575.2 Million by 2035.
Metric | Value |
---|---|
Market Size (2025E) | USD 3,889.1 Million |
Market Value (2035F) | USD 8,575.2 Million |
CAGR (2025 to 2035) | 8.2% |
Country-wise Analysis
Country | CAGR (2025 to 2035) |
---|---|
United States | 8.0% |
Country | CAGR (2025 to 2035) |
---|---|
United Kingdom | 8.3% |
Region | CAGR (2025 to 2035) |
---|---|
European Union (EU) | 8.4% |
Country | CAGR (2025 to 2035) |
---|---|
Japan | 8.1% |
Country | CAGR (2025 to 2035) |
---|---|
South Korea | 8.5% |
Segmentation Outlook-Specialty Medical Chairs Market
By Type | Market Share (2025) |
---|---|
Examination Chairs | 35.2% |
Competitive Outlook
Company Name | Estimated Market Share (%) |
---|---|
Dentsply Sirona | 18-22% |
Midmark Corp. | 15-19% |
Fresenius Medical Care | 12-16% |
Planmeca Oy | 10-14% |
Other Companies (combined) | 30-40% |
As of May 2025, the most popular medical app in China was Ping An Good Doctor, a healthcare platform owned by the Ping An Insurance Group, with around **** million monthly active users. The mobile portal provides real-time medical consultations, online appointment booking, and a health-related discussion forum. In April 2018, there were twelve thousand healthcare service providers on this mobile app. These leading medical apps have gained popularity in China not only by saving the waiting time at hospitals effectively, but also enhancing the communications between doctors and patients.
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In order to access primary care services in Northern Ireland, patients need to register with a GP practice. Registrations can be divided into different types: first registrations, transfers from other parts of the UK, migrant registrations and service related registrations. Individual registrations will be deducted from the index of registered patients for a number of reasons including notification of death, emigration, returning to their home country, moving to Great Britain etc. There may be a lag between a patient presenting themselves at a GP Practice and completion of registration. This lag may be greater for patients who have to provide additional documentation as proof of entitlement to services. Similarly for deductions, there may be a lag in removing individuals from the index of registered patients.
Given the sensitive nature of the data, this dataset is primarily used to identify patient populations and facilitate linkage to other datasets. Some variables may be provided in aggregated format, for example age may be replaced with age band and postcode replaced with higher level geographical classifications.
GP Cypher codes and Practice numbers will not be provided.
The published representation of medical facilities within Forsyth County boundariesMedical facility types include:Ambulatory Health Care (NAIC Code 6219)Assisted Living (NAIC Code 6233)Dentist (NAIC Code 6212)Home Health Care (NAIC Code 6216)Medical and Diagnostic Laboratory (NAIC Code 6215)Medical and Surgical Hospital (NAIC Code 6221)Other Health Practitioner (NAIC Code 6213)Outpatient Care (NAIC Code 6214)Physician (NAIC Code 6211)Psychiatric and Substance Abuse Hospital (NAIC Code 6222)Residential Disability, Mental Health and Substance Abuse Care (NAIC Code 6232)Specialty Care (NAIC Code 6223)
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The Global AI in Medical Coding Market is expected to grow from USD 2.4 Billion in 2023 to approximately USD 8.4 Billion by 2033, exhibiting a CAGR of 13.6% during the forecast period from 2024 to 2033. The rise in instances of insurance fraud, increasing adoption of computer-aided coding systems (CACS), and the integration of Artificial Intelligence (AI) within the medical coding domain are some of the factors driving this growth. CACS utilization, combined with technological advancements such as Natural Language Processing (NLP), AI, and the Internet of Medical Things (IoMT), is fueling the market's expansion. Furthermore, AI's role in enhancing the accuracy and efficiency of medical billing systems is another driver behind this growth.
Recent developments in the AI in Medical Coding sector highlight the industry's rapid evolution, marked by technological advancements and strategic corporate activities. One significant trend is the emergence and growth of companies operating in this field. The sector is undergoing a wave of consolidation, with several key acquisitions taking place in recent months. For example, Mckesson acquired XIFIN, a leader in AI-powered coding solutions, in a deal valued at over $1.5 billion. This move strengthens Mckesson's position in the healthcare revenue cycle management market. Additionally, companies like Olive AI have secured significant funding rounds. In October 2023, Olive AI raised $220 million to further develop its AI platform for medical coding and automation. These developments signal a growing confidence in the potential of AI to revolutionize medical coding by improving accuracy, efficiency, and reducing costs within the healthcare system.
However, the sector faces challenges, including the need for continual updates to coding standards and the scarcity of skilled professionals equipped to navigate the complexities of medical coding. Additionally, the accuracy required in medical coding presents a significant challenge, as even minor errors can have profound impacts on patient care and billing processes.
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The global Artificial Intelligence (AI) Medical Software market, valued at $4.687 billion in 2025, is poised for steady growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 1.9% from 2025 to 2033. This growth is fueled by several key factors. The increasing prevalence of chronic diseases necessitates more efficient diagnostic and treatment methods, driving the adoption of AI-powered solutions for improved accuracy and speed. Furthermore, the rising availability of large, high-quality medical datasets is crucial for training sophisticated AI algorithms, leading to more effective applications in areas like drug discovery and precision medicine. Technological advancements in machine learning and deep learning are also contributing to the enhanced capabilities of AI medical software, enabling better image analysis, natural language processing of medical records, and personalized treatment plans. While data privacy and regulatory hurdles pose challenges, the overall market outlook remains positive, driven by the substantial benefits AI offers in improving patient care and healthcare efficiency. Significant market segmentation exists within the AI Medical Software landscape. Application-wise, drug discovery and precision medicine are the leading segments, reflecting the significant potential for AI to accelerate research and personalize therapies. In terms of technology types, image recognition and natural language processing are the dominant categories, with image recognition being instrumental in diagnostics and natural language processing facilitating the analysis of vast amounts of patient data. Geographically, North America is expected to maintain a substantial market share due to robust technological infrastructure, advanced healthcare systems, and increased adoption rates. However, emerging economies in Asia-Pacific are anticipated to exhibit robust growth, driven by increasing healthcare investments and a growing need for efficient and cost-effective healthcare solutions. The presence of numerous key players, including established technology companies and specialized healthcare firms, indicates a competitive market with ongoing innovation and market consolidation.
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This is a medical dataset that can be used to test the TIFF viewer
Malikeh1375/medical-question-answering-datasets dataset hosted on Hugging Face and contributed by the HF Datasets community