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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,409 datasets
A collection of dental X-ray images published on Kaggle. The dataset likely contains visual data of teeth and oral structures for analysis. Specific details on volume, collection method, and time period are unavailable from the provided metadata.
The ITS4US HIRTA Health Connector Performance Evaluation Dataset contains trip-level information for rides taken from October 1, 2024, to December 31, 2025. Each row corresponds to one anonymized ride request, with all personally identifiable information stripped. The dataset was published by the Department of Transportation and last updated in March 2026.
A collection of audio recordings from U.S. healthcare call centers, featuring conversations between agents and patients. The dataset is hosted on Kaggle, but its specific size, creation date, and authorship are not detailed. The description indicates it includes health care audio data.
A healthcare image dataset includes magnetic resonance imaging (MRI) scans of various anatomical regions. The dataset is hosted on Kaggle, but specifics regarding its size, collection dates, and creator are not provided in the available metadata. Further details about the image annotations, resolution, and clinical context require inspection of the dataset files.
Kaggle hosts the RecGPT Complete Reproduction Package. The package likely contains materials for replicating a GPT-based model. Its specific contents, scale, and authorship are not detailed in the provided metadata.
Survey responses from 40 medical students and 30 physicians from a private medical school regarding their attitudes toward publishing negative or unexpected research results. The data was collected via a questionnaire to evaluate opinions and discuss the ethical aspects of the issue. The study concluded that publication of such results is insufficiently discussed, with a belief that it may harm researcher reputation.
RHRV is a dataset for Heart Rate Variability analysis of ECG data, described by Leandro Rodríguez-Liñares. It allows for importing heartbeat data, cleaning outliers, plotting, and performing time domain, frequency domain, and nonlinear HRV analysis, as referenced in Garcia et al. (2017). The dataset's specific size, temporal coverage, and collection methodology are not detailed in the provided metadata.
A non-systematic review paper authored by Erito Marques de Souza Filho from Universidade Federal Fluminense. It surveys published papers on Artificial Intelligence applications in Cardiology, focusing on decision-making support and diagnostic/prognostic performance improvements. The work discusses main applications, potential impacts, and challenges in the field.
67,830 record sets contain digitized physiological waveforms and time-series measurements for approximately 30,000 ICU patients. The data includes signals such as ECG, arterial blood pressure, respiration, and PPG, representing quasi-continuous recordings of a patient's vital signs throughout their ICU stay. A subset of this database is matched and time-aligned with the MIMIC-III Clinical Database records.
The DoseFinding package provides functions for designing and analyzing dose-finding experiments, with a focus on Phase II clinical trials. It includes methods for multiple contrast tests, fitting non-linear dose-response models, calculating optimal designs, and implementing the MCPMod methodology. The package was authored by Bjoern Bornkamp.
Smartwatch Health Datasets(cleaned) is a collection of data from wearable devices, published on Kaggle. The dataset's specific content, such as sensor readings or health metrics, must be verified after download. Its author, size, and update history are currently unknown.
This survey dataset tracks research publications concerning Convolutional Neural Networks (CNN) in medical imaging for colon cancer across three major academic publishers. Compiled by Jie Li and hosted on Harvard Dataverse, the collection spans a 25-year period from 2000 to 2025. It aggregates literature metadata and survey findings from IEEE, Science Direct, and Springer Nature.
Reference guides for treatments in the PTSD Repository and annual AHRQ evidence reports on pharmacologic and nonpharmacologic PTSD treatments from 2019 to 2025. It includes a psychotherapy categorization table and a practical guide for conducting meta-analyses in mental health research. The data is maintained by the U.S. Department of Veterans Affairs National Center for PTSD.
Containing reference guides for treatments in the PTSD Repository and annual AHRQ evidence reports on pharmacologic and nonpharmacologic PTSD treatments from 2019 to 2025. It includes a psychotherapy categorization table and a practical guide for conducting meta-analyses in mental health research. The data is maintained by the U.S. Department of Veterans Affairs National Center for PTSD.
A Kaggle-hosted dataset of histology images related to colorectal cancer, identified by the codenames NCT-CRC-HE-100K and NCT-CRC-HE-7K. The specific source, collection method, and temporal coverage are not provided in the available metadata. The dataset likely contains microscopic tissue images for computational pathology analysis.
A historical text analyzing the personal relationships among Franklin Roosevelt, Winston Churchill, and Joseph Stalin during World War II and their impact on the start of the Cold War. The work is structured into ten chapters covering events from 1941 to 1946, sourced from the paperswithcode platform. The license is closed, and the author and organization are unknown.
A dataset comparing lifestyle and health factors between obese and non-obese individuals. It is hosted on Kaggle, but the author, collection method, and specific time range are unknown. The dataset likely contains variables related to health behaviors and outcomes.
A dataset titled 'ecg-training-new' is hosted on Kaggle. The dataset likely contains electrocardiogram (ECG) signals intended for training machine learning models. Metadata such as author, size, and specific content details are unavailable.
MIMIC-CXR-JPG-LITE is a dataset of chest X-ray images, likely derived from the MIMIC-CXR database. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection dates, and originating institution are not provided in the available metadata.
OpenMedicalReasoning contains approximately 19,700 samples designed for supervised fine-tuning in medical reasoning tasks. OrionLLM created this dataset, which was last updated on March 15, 2026.