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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,476 datasets
Plotted ECG signals sampled at 500 Hz, sourced from Kaggle. The dataset likely contains time-series recordings of electrical heart activity. Metadata such as author, collection date, and patient demographics is unknown.
MIMIC-CXR reports are a collection of radiology text associated with chest X-ray images. The dataset is hosted on Kaggle, but the specific number of reports, collection time range, and authoring institution are not detailed in the provided metadata. The content likely contains free-text descriptions of medical imaging findings.
MIMIC-CXR Reports is a dataset of radiology text reports, likely associated with chest X-ray images. The dataset is hosted on Kaggle, but its specific size, origin, and creation date are not provided in the available metadata. The content appears to be derived from the MIMIC (Medical Information Mart for Intensive Care) database, which is a large, de-identified clinical database.
GraphECGNet is a dataset published on Kaggle. The title suggests it contains electrocardiogram (ECG) data structured for use with graph neural networks. No further details on its size, origin, or specific contents are available from the provided metadata.
733 professionally annotated documents form an open-source benchmark for reading order detection. This dataset contains diverse real-world documents like financial reports, legal contracts, research papers, and medical records, each with ground truth reading order sequences. It was created by ChunkrAI and last updated on 2026-01-22.
Featuring de-identified participant and facility-level data from the PRACTICE implementation science study in Malawi. It includes information from healthcare workers, HIV index patients, and their contacts, alongside facility characteristics, intervention fidelity, and cost-effectiveness measures. Facility-level outcome data are summarized at quarterly intervals.
Kaggle hosts a dataset titled Biomedical Syntactic Distance Matrix. The description indicates it is designed for optimizing genomic analysis through GPU-accelerated O(N^2) distance matrix calculations. The dataset's author, organization, and specific size details are unknown.
STHELAR is a multi-tissue dataset integrating high-resolution spatial transcriptomics data with Hematoxylin & Eosin (H&E) whole slide images to provide detailed segmentation masks and cell-type annotations. The dataset was created by FelicieGS and last updated on Hugging Face in January 2026. It is designed for developing models capable of predicting cell types directly from histological images.
A review paper from the paperswithcode platform discusses the exponential growth of artificial intelligence in medicine. Authored by Pulwasha Maria Iftikhar, it examines how AI can be applied in Obstetrics and Gynecology to improve patient outcomes, reduce costs, and decrease clinician workload.
An annotated dataset of mental health related activities. The dataset is sourced from Kaggle, but the author, organization, and specific creation details are unknown. The data volume, format, and update history are not specified in the provided metadata.
10,000 rows of synthetic medical billing data with injected fraud cases. The dataset is designed for fraud detection modeling, though its creator and update date are unknown.
Nonfatal occupational injuries and illnesses among workers treated in hospital emergency departments in the United States for the year 2003. The data was published by the US Department of Health and Human Services and is hosted on the paperswithcode platform. The specific scale and granularity of the records are unknown from the provided metadata.
Sara Martin authored a dataset titled 'Improving diagnosis worldwide', which is listed on the Paperswithcode platform. The dataset's specific content, size, and structure are not detailed in the available metadata. Its license is listed as closed, indicating potential restrictions on use.
Atrial fibrillation mortality and hospitalization data from the U.S. Centers for Disease Control and Prevention for the year 1999. The dataset likely contains statistics on how atrial fibrillation contributed to deaths and Medicare-funded hospital stays. It was published on the paperswithcode platform by the US Department of Health & Human Services and the CDC.
Twelve U.S. states provide data on hospitalization incidence rates related to traumatic brain injury. The dataset likely contains counts or rates of hospital admissions for TBI. It was published by the US Department of Health and Human Services on the paperswithcode platform.
A 2012 report on healthcare quality metrics, published by the Agency for Healthcare Research and Quality. The dataset likely contains tabular data on performance indicators, outcomes, and disparities across the U.S. healthcare system. Specifics on the number of rows, columns, and metrics are not provided in the metadata.
Group_xray_cervical is a medical imaging dataset published on Kaggle. The title suggests it contains X-ray images of the cervical spine, a region of the neck. The dataset's author, organization, and specific content details are not provided in the available metadata.
A dataset for detecting diseases in rice plants, published on Kaggle. The specific number of images, collection method, and temporal coverage are unknown. The dataset likely contains images of rice plants with various health conditions.
A dataset titled 'results on 1000 patients final' is hosted on Kaggle. The dataset likely contains clinical or medical outcome data for a cohort of one thousand individuals. Metadata is minimal; the specific source, collection method, and data fields require verification after download.
Kaggle_pathology_prediction_util_RESUME_SAFE is a dataset hosted on Kaggle. Its title suggests a focus on pathology prediction, likely for medical or clinical applications. The dataset's specific content, scale, and origin require verification after download.