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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,536 datasets
Annual Excel pivot tables summarize patients treated in California Emergency Departments. Data includes number of visits, expected payer, discharge disposition, age groups, sex, preferred language, race groups, principal diagnosis groups, and principal external cause of injury groups. The State of California aggregates this data from the ED Treat-and-Release and Inpatient Databases.
California county data contains hospitalization rates for seven prevention quality indicators and supply rates for physicians treating those conditions. Anticipated retirement of practicing physician specialists is also provided by county. Rates are calculated per 100,000 population.
Clara Virbel-Fleischman's qualitative study includes interview data from 22 patients with Parkinson's disease and 9 healthcare professionals regarding their perceptions of body-worn sensor monitoring. The data likely contains interview transcripts and thematic analysis documents, including usability scores and user experience feedback from a one-week sensor experiment. It was harvested by QDR and last updated on October 20, 2025.
A qualitative study conducted through the Palliative Care Research Cooperative Group (PCRC) interviewed 42 participants, including 20 clinical investigators and 22 patients or family caregivers. The research, authored by Matthew DeCamp and harvested by QDR, identified 8 ethical challenges and 11 potential solutions specific to end-of-life and palliative care research engagement. Data includes transcripts from participants who provided enthusiastic consent for sharing.
Eleonore Baum and colleagues conducted 20 semi-structured interviews with Somali pastoralists in Ethiopia between July 2020 and January 2021. The interviews explore perceptions of chronic pain across primary, secondary, and tertiary care facilities and pastoralist communities. Audio recordings were transcribed and translated from Somali to English for analysis using the Framework Method.
MMOral-OPG-Bench consists of 100 panoramic X-ray images paired with 491 closed-ended and 578 open-ended questions for dental diagnostic evaluation. Created by OralGPT and released in 2025, it serves as a manually curated benchmark for multimodal dental AI.
A qualitative study interviewed patients with metastatic lung cancer admitted to a 52-bed chest ward in a central Taiwan medical center. Participants were selected based on criteria including being over 20 years old, having exercise habits, and speaking Chinese or Taiwanese. Interview transcripts were de-identified and analyzed by a group of qualitative research experts to extract main themes.
Medical Encyclopedia is a text dataset hosted on HuggingFace by author amalsp. The dataset was last updated on December 18, 2025. Its specific content and scale are not detailed in the available metadata.
Medical Anomalies 0-3 is a dataset published on HuggingFace by acroitoru. The title suggests it contains data related to medical anomalies, potentially for detection or classification tasks. The dataset was last updated on December 14, 2025.
39 qualitative interviews conducted between October 2020 and September 2021 explore barriers and facilitators to concurrent hospice and dialysis care. Jane Schell's team interviewed patients, caregivers, clinicians, and administrators using a Consolidated Framework for Implementation Research (CFIR) guide. Data collection reached thematic saturation and transcripts were coded using NVivo software.
EHR-Bench is a benchmark dataset introduced to evaluate Large Language Models on Electronic Health Record analysis tasks. It is derived from the MIMIC-IV dataset and was created by BlueZeros. The dataset was last updated on November 3, 2025.
URI-CAD is a 2D ultrasound imaging database containing 1985 B-mode renal images (450 healthy, 1535 pathological). The dataset was retrospectively collected from patients aged 18 and above at Hospital Universitario Ramón y Cajal between 2009 and 2018. Annotations by two experienced nephrologists include polygonal kidney segmentation masks, indicators of global pathologies, and bounding boxes for local lesions.
Locations of active fever outpatient clinics in Rhineland-Palatinate, Germany, are provided for COVID-19 crisis management. The data is published by the Bundesamt für Kartographie und Geodäsie and was last updated on November 11, 2025. It is accessible via an OGC API and an INSPIRE download service.
New York state data on health insurance premiums and company financials reported annually. The dataset includes columns for Company Name, Type of Insurer, Premium Written, Assets, Liabilities, and Year. It is published by data.ny.gov and was last updated on October 14, 2025.
AbdomenAtlas 3.0 provides 9,262 abdominal CT volumes paired with standardized medical reports, published by MrGiovanni for ICCV 2025. The collection integrates volumetric medical imaging with detailed text descriptions to support vision-language model development and lesion segmentation.
CPathPatchFeature provides a collection of pre-extracted features from Whole Slide Images for various cancer types. The dataset was created by Dearcat and was last updated on October 30, 2025. It is designed to facilitate research in computational pathology.
Loaded with 28,536 internal medicine inpatient cases from a German university hospital between 2017 and 2019. It was used to build department-specific machine learning models for predicting prolonged length-of-stay, incorporating features derived from demographics and mental and somatic comorbidities.
State of California data provides counts of inpatient visits resulting in discharge to hospice care for adults aged 18 and over. The dataset allows analysis of total annual counts segmented by patient age groups, county of residence, primary payer type, diagnosis category, and patient sex, race, and ethnicity. It includes disease categories such as circulatory conditions, diabetes, neoplasms, malnutrition, neurodegenerative disease, renal failure, and respiratory conditions.
State of California's Department of Health Care Access and Information provides annual summaries of hospital inpatient activity. The dataset includes discharges, length of stay, age groups, race, sex, expected payer, diagnosis groups, and procedure groups. Data can be aggregated statewide or by hospital county, bed size, and control type.
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.