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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,554 datasets
PMC Medical Summarization likely contains text data for summarizing medical research articles. The dataset was created by author rumalekanayake and last updated on 2026-02-08. Its exact size, content, and structure are unspecified in the available metadata.
100 synthetic medical records structured in the SOAP format and JSON. The dataset is described as high-fidelity and appears on Kaggle. The author, organization, and last update date are unknown.
Encompassing tabular data related to healthcare providers, standardized for regulatory compliance purposes. It is tagged for use in health administration contexts. Specific details on the number of rows, columns, and data structure are unavailable.
Multi-Stage Chronic Kidney Disease (CKD) Classification dataset from Kaggle. The dataset likely contains clinical measurements for classifying CKD progression stages. Its author, organization, and specific size are unknown.
Simple Clinical Dataset is a healthcare dataset hosted on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its columns and sample data are unknown, requiring verification after download.
Advanced Diagnostic Dilemma Dataset is a medical dataset hosted on Kaggle. Its specific content, size, and origin are not detailed in the provided metadata. The dataset likely contains information related to complex diagnostic scenarios in clinical practice.
Sourced from ZebraMap and is designed to evaluate the diagnostic capabilities of Large Language Models (LLMs) in the context of rare diseases. It serves as a benchmark for testing how well AI models can identify or classify medical conditions based on provided text data.
Global hospital bed capacity data across multiple countries, providing a baseline for healthcare infrastructure. The dataset categorizes capacity by location and facility type to support COVID-19 resource modeling.
Performance metrics for wearable health devices across multiple technical categories for the 2025 calendar year. Benchmarks document hardware and software efficiency to evaluate the current state of health-tracking technology.
USA Hospital Dataset is a collection of information about hospitals in the United States, published on Kaggle. The dataset's specific contents, size, and creation details are not provided in the available metadata.
Kaggle hosts a dataset titled 'Usa Hospital Patient Dataset'. The dataset's content likely pertains to patient information from hospitals in the United States. Specific details on volume, creation date, and authorship are not provided in the available metadata.
A collection of lung CT scans intended for the detection of pneumonia. The dataset is hosted on Kaggle, but the specific number of images, collection dates, and originating institution are not provided in the available metadata. Further details about the data's composition and annotation require verification after download.
Training data for eye disease detection, sourced from Kaggle. The dataset's specific size, collection method, and temporal coverage are not detailed in the provided metadata. Further verification after download is required to confirm the exact contents and scope.
15,000 instruction-response pairs for training large language models on clinical tasks. The dataset is derived from the Alpaca and ShareGPT instruction-tuning datasets and formatted in JSONL. It appears to focus on medical domains such as SOAP notes, ICD coding, drug safety, and radiology.
Kaggle-hosted data for predicting heart disease risk using real-world health information. The dataset's author, organization, and specific size are not provided in the metadata. Its last update date is also unknown.
PROsetta Stone Wave 3 demonstrates the feasibility of linking PROMIS Physical Function item banks for post-acute care patients and the US general population. The dataset, authored by David Cella, aims to expand patient-reported outcome assessment options and facilitate cross-trial comparisons for neurological disorders.
PROsetta Stone Wave 2 establishes linking relationships between PROMIS measures in Social, Sleep, Cognition, and Psychological Well Being subdomains and related instruments from Toolbox and Neuro-QOL. Authored by David Cella, this data expands the range of patient-reported outcome assessment options within a common, standardized metric. It is intended to aid interpretation of results in future comparative effectiveness research studies.
PROsetta Stone Wave 1 contains linking relationships between PROMIS measures and legacy instruments. The dataset, created by David Cella, aims to expand PRO assessment options within a common metric for future comparative effectiveness research. It links PROMIS Anxiety, Depression, Fatigue, Global, and Profile measures with instruments like the BDI, HADS, PANAS, NeuroQOL Fatigue, and Vitality scale.
Presenting a Data Management and Sharing Plan (DMS) for a research project characterizing the immunopathology of PCD-related CRS. The plan outlines the strategy for managing and sharing the scientific data to be generated. Specific details on data volume, structure, and features are not provided in the input.
A Data Management and Sharing Plan for a research project on generating personalized Patient Reported Outcome (PRO) reports using machine learning. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The author is Tan, Ray.