Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
A distilled SFT dataset based on medical verifiable problems from HuatuoGPT-o1 and the Deepseek-R1 (Full Power Version) model. The dataset, created by FreedomIntelligence and last updated on 2025-02-22, is intended to help initialize models with reasoning chains from the R1 model.
BIOMEDICA published a histopathology subset on Hugging Face in April 2025. The dataset likely contains medical images and potentially associated text data. Its exact size, structure, and specific content require verification after download.
FreedomIntelligence's Medical R1 Distill Data Chinese is a distilled SFT dataset for Chinese medical question answering. The dataset is derived from the Deepseek-R1 model's API responses to verifiable medical problems sourced from HuatuoGPT-o1. It was last updated on February 22, 2025.
5,195 annotated CT volumes featuring voxel-level labels for eight abdominal organs including the spleen, liver, kidneys, stomach, gallbladder, pancreas, aorta, and IVC. This collection supports the Touchstone Benchmarking Project for evaluating semantic segmentation algorithms in medical imaging.
A dataset containing labels for patient case summaries according to the American College of Radiology (ACR) Appropriateness Criteria. The original case summaries are not included due to access restrictions; instead, the dataset provides cryptographically secure SHA-512 hashes of those summaries. The dataset was created by michaelsyao and last updated on March 1, 2025.
2021 data from the National ART Surveillance System provides a snapshot of clinic services, patient characteristics, and success rates across U.S. fertility clinics. The dataset includes clinic profiles, patient cycle counts, and treatment outcomes. It is published by data.cdc.gov.
The National ART Surveillance System (NASS) collects data from fertility clinics across the U.S. This 2022 summary dataset from data.cdc.gov provides a linked snapshot of clinic services, patient characteristics, and ART success rates using columns like ClinicId, Cycle_Count, and data_value_num. The data was last updated on the platform on 2024-12-18.
1,574 invasive coronary angiogram studies, including X-ray multi-view videos, prepared for Nature Scientific Data by a team including Ivan Kruzhilov and Gleb Mazanov. The dataset is designed for the coronary dominance classification task, an essential aspect in assessing the severity of coronary artery disease. It was last updated on the Hugging Face platform on 2025-02 19.
Montgomery County, Maryland provides a list of licensed assisted living facilities. The dataset includes facility names, addresses, phone numbers, geographic coordinates, and licensed capacity. It is maintained by the Maryland Department of Health and updated annually.
MIMIC-III is a large, de-identified clinical database containing health data from intensive care unit patients. The dataset was published on the Hugging Face platform by the user 'hejazizo' and was last updated on April 10, 2025. Its specific size, columns, and license are unknown from the provided metadata.
Medical R1 Distill Chatml Lt8192 is a text dataset hosted on HuggingFace by author thng292. The platform tags suggest it contains medical text structured as chat dialogue, likely processed through a distillation method. The dataset was last updated on March 27, 2025.
Success rates for Assisted Reproductive Technology cycles started in 2022, reported by fertility clinics across the U.S. through the National ART Surveillance System. Data distinguishes between cycles using a patient's own eggs and those using donor eggs or embryos, with rates calculated per intended retrieval, actual retrieval, and transfer.
2021 data from the National ART Surveillance System details success rates for fertility clinics across the United States. It distinguishes between cycles using a patient's own eggs and donor eggs, reporting cumulative success rates per intended retrieval, actual retrieval, and transfer. The dataset excludes research cycles and allows linkage of four related datasets via a unique ClinicID.
Ultralytics brain tumor detection dataset consists of medical images from MRI or CT scans, containing information about brain tumor presence, location, and characteristics. The dataset is intended for training computer vision algorithms to automate brain tumor identification. It was created by Ultralytics and was last updated on 2025-02-10.
2022 data from the National ART Surveillance System (NASS) collects success rates from fertility clinics across the United States. The dataset contains clinic-level metrics on ART cycles, including success rates for patients using their own eggs and donor eggs, broken out by various patient and cycle characteristics. It is published by data.cdc.gov and was last updated in December 2024.
NOHSS Adult Indicators provides national estimates of adult oral health from the Behavioral Risk Factor Surveillance System for even years 2012 through 2020. The dataset includes median prevalence statistics across 50 states and the District of Columbia, covering topics like dental visits, tooth loss, and access to care.
Medical R1 Distill Data 1K is a text dataset created by PJMixers-Dev and uploaded to Hugging Face on March 23, 2025. The title suggests it contains approximately 1,000 instruction-response pairs, likely distilled and filtered from the ShareGPT platform. Its content appears to be focused on medical topics, potentially for training or fine-tuning language models.
Four datasets from the National ART Surveillance System (NASS) collect success rates, services, and patient characteristics from fertility clinics across the U.S. Data were updated on September 11, 2024, and are available from data.cdc.gov. The Success Rates dataset contains cumulative success rates for cycles started in 2021, broken down by patient age, egg source, and prior ART history.
DIAGNijmegen released this resource in 2025 to facilitate the preprocessing of 3D medical image archives for prostate cancer detection. It focuses on standardizing MRI data stored in DICOM and MHA formats for clinical machine learning applications. The dataset and its associated tools are maintained by the Diagnostic Image Analysis Group at Radboud University Medical Center.
2021 data from the National ART Surveillance System (NASS) provides an overview of assisted reproductive technology services across U.S. fertility clinics. The dataset includes clinic profiles, contact information, and summary statistics, collected by the CDC. It can be linked to related ART datasets using the ClinicID field.