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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,697 datasets
3D-RAD is a medical visual question answering dataset focused on 3D radiology images. The dataset was created by Tang-xiaoxiao and its associated paper was accepted to the NeurIPS 2025 conference. The repository was last updated on October 29, 2025.
Salvador Ponce Alcantara's dataset contains experimental aging data for 82 Samsung INR21700-50E lithium-ion cells. The work is part of the REBELION project's Work Package 4, aiming to develop a state-of-health diagnostic protocol for battery repurposing and recycling. It includes capacity measurements before and after aging, cycling data, and quasi-stationary open-circuit voltage measurements for 80 aged cells and 2 new cells.
25 virtual in-depth interviews explore malaria prevention knowledge and attitudes among residents of Khatyad Rural Municipality, Nepal. The data includes translated transcripts from interviews conducted in Nepali between 2020 and 2021. Researcher Kiran Awasthi collected this qualitative data for public health research.
67 interview transcripts from 60 participants, including 30 patients with Parkinson's disease and 30 care partners. The data was collected by Hillary Lum via a qualitative descriptive study within a multisite randomized clinical trial. Interviews were conducted between September 2017 and March 2018 at three university sites.
27 qualitative interviews with patients and caregivers collected within one week of discharge from three academic acute care hospitals in Ontario, Canada. The dataset is a subset analysis from a randomized controlled trial (RCT) exploring patient-oriented discharge summaries (PODS). It was created by Shoshana and harvested by QDR from Dataverse.
Biennial data from 2019 onward tracks weight status categories for public school students in New York State, excluding New York City. The New York State Department of Health collects and reports percentages and counts of students classified as underweight, healthy weight, overweight, or obese based on BMI-for-age percentile. Data is aggregated at district, county, regional, and statewide levels for selected grades from Pre-K through 11.
Processed instances from the Liver Tumor Segmentation Challenge (LiTS) dataset, adapted for binary liver tumor classification. The original 3D CT scans and segmentation masks have been converted into individual 2D slices. The dataset was created by author 'seongun' and was last updated on October 27, 2025.
Total emergency department visits and admissions for influenza-like illness and/or pneumonia are aggregated by modified ZIP code tabulation area of patient residence. The data is provided by the City of New York through its open data portal. It was last updated on October 9, 2025.
A dataset containing hospital-related information sourced from the OpenML platform. The specific contents, size, and creator are not detailed in the provided metadata. The last update date is also unknown.
Patient data is a tabular dataset sourced from the OpenML platform, categorized under healthcare and clinical records. The dataset's specific contents, size, and creation details are not provided in the available metadata. Information regarding the number of rows, columns, author, and last update date is currently unknown.
ECG5000 is a time-series dataset containing electrocardiogram (ECG) signals, likely for classification tasks. Its source and creation date are not specified in the available metadata. The dataset is hosted on the OpenML platform for machine learning experimentation.
5000 time series recordings of electrocardiogram (ECG) heartbeats, each 140 data points long, sourced from the OpenML platform. The dataset is designed for classification tasks, distinguishing between normal and arrhythmic heart rhythms. The original collection methodology and time period are not specified in the provided metadata.
Beginning in 2009, this dataset contains hospital discharge counts and calculated rates for Patient Safety Indicators (PSIs) developed by the Agency for Healthcare Research and Quality (AHRQ). It is produced by health.data.ny.gov using New York's Statewide Planning and Research Cooperative System (SPARCS) inpatient data and US Census data for area-level measures. The data includes observed, expected, and risk-adjusted rates with confidence intervals for potential in-hospital complications and adverse events.
Patient Safety Indicators (PSI) developed by the Agency for Healthcare Research and Quality (AHRQ) track potential in-hospital complications and adverse events. The dataset contains hospital discharge counts, observed, expected, and risk-adjusted rates with 95% confidence intervals for New York State hospitals beginning in 2009. Data originates from the Statewide Planning and Research Cooperative System (SPARCS) inpatient records and is published by health.data.ny.gov.
Hospital discharge data from New York State's SPARCS system provides counts, observed, expected, and risk-adjusted rates for Patient Safety Indicators (PSIs) developed by the Agency for Healthcare Research and Quality (AHRQ). The dataset includes measures for potential in-hospital complications and adverse events following surgeries, procedures, and childbirth, calculated from inpatient data beginning in 2009. Data is presented by hospital and county, with rates and confidence intervals.
A WMS service provides the urban development plan ‘Zentrales Feuerwehrgerätehaus und Bauhof - 1st Amendment’ for the municipality of Auenwald. The dataset is transformed according to the INSPIRE directive and is based on an XPlanung dataset in version 6.0. The Bundesamt für Kartographie und Geodäsie is listed as the organization, and the record was last updated on 2025-10-22.
MedSG-Bench is the first benchmark for medical image sequences grounding, accepted as a Spotlight at NeurIPS 2025. The dataset is associated with MedSG-188K, a grounding instruction-tuning dataset, and the MedSeq-Grounder model. It was last updated on Hugging Face on October 24, 2025.
AbdomenAtlas 3.0 Mini is a public dataset containing more than 9,000 high-quality abdominal CT scans paired with radiology reports. It includes per-voxel annotations for tumors in the liver, kidney, and pancreas. The dataset was created by AbdomenAtlas and was last updated on Hugging Face in October 2025.
Sickle cell disease is one of the most common monogenic disorders globally. This dataset, created by M. A. Timmer, compares movement behavior in adults with SCD to healthy controls, addressing a hypothesized lack of physical activity information. It was last updated on November 4, 2025.
900 de-identified electronic medical records (EMRs) from psychiatric inpatients used to evaluate LLM performance in clinical practice. The data consists of real-world clinical resources without synthetic augmentation or paraphrasing to ensure professional-grade benchmarking.