Last updated: June 16, 2026
My field of interest is Healthcare AI so the datasets here are dominated by healthcare. That does not mean you have to work with these data sets only. Find your own!
10 Healthcare AI Datasets You Should Know (2024–25). Links in comment.
https://www.linkedin.com/posts/vidith-phillips-md-ms-11841a6b_healthcare-ai-machinelearning-activity-7323889399639773184-jGpY?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAPsW64BNtxodzQe3M_H7WwpWaac2Y0ycAQ
ReXGradient-160K: Chest X-ray
https://huggingface.co/datasets/rajpurkarlab/ReXGradient-160K
OxMat: Maternal CTG
https://arxiv.org/abs/2404.08024
Symile-MIMIC: Multimodal ICU
https://physionet.org/content/symile-mimic/1.0.0/
EHRSHOT: Longitudinal EHR
https://redivis.com/datasets/53gc-8rhx41kgt
INSPECT: CT + Notes
https://som-shahlab.github.io/inspect-website/
MedAlign: Instruction-Following EHR NLP
https://arxiv.org/abs/2308.14089
MIMIC-Ext CXR-VQA: Radiology VQA
https://physionet.org/content/mimic-ext-mimic-cxr-vqa/1.0.0/
GastroTME-GC: Gastric-Cancer Histopathology
https://www.nature.com/articles/s41597-025-04489-9#Bib1
UWF-Fundus 700: Ultra-Widefield Retina
https://www.nature.com/articles/s41597-024-04113-2
Tahoe-100M: Single-Cell Drug-Perturbation
https://www.biorxiv.org/content/10.1101/2025.02.20.639398v2
10 Awesome Healthcare AI GitHub Repos You Should Know,
Check the comments for links!
1. awesome-healthcare-ai
- Curated collection of healthcare tools, ML algorithms, datasets, and papers organized by medical specialties from cardiology to radiology. https://github.com/medtorch/awesome-healthcare-ai
2. awesome-healthcare
- Comprehensive library of vetted open-source healthcare software, tools and resources spanning EHR systems, imaging, and ML applications.
https://github.com/kakoni/awesome-healthcare
3. awesome-list-machine-learning-healthcare
- Selected resources on ML in healthcare including key courses, publications, and conferences for staying updated with latest developments. https://github.com/XiaoleiZ/awesome-list-machine-learning-healthcare
4. Awesome-Medical-Dataset
- Extensive collection of medical dataset resources with links to specialized repositories for imaging, LLMs, and multimodal applications. https://github.com/openmedlab/Awesome-Medical-Dataset
5. awesome-machine-learning-for-healthcare
- Cutting-edge research collection focusing on NLP and multimodal learning with papers on health LLMs and medical QA systems. https://github.com/baeseongsu/awesome-machine-learning-for-healthcare
6. AI-Projects-for-Healthcare
- Practical implementations including breast cancer classification, COVID-19 detection, and heart failure analysis with working code. https://github.com/edaaydinea/AI-Projects-for-Healthcare
7. awesome-healthmetrics
- Resources at the healthcare-AI intersection covering representation learning, adversarial attacks, and ML applications in genomics. https://github.com/leandromineti/awesome-healthmetrics
8. healthcare_ml
Application-oriented ML resources organized by areas like precision medicine, genomics, and hospital operations. https://github.com/isaacmg/healthcare_ml
9. Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging
- Specialized collection for medical image analysis with conference information and implementation resources. https://github.com/XindiWu/Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging
10. healthcareai-examples
- Microsoft's repository with practical examples of healthcare AI applications including predictive modeling and ML pipelines. https://github.com/microsoft/healthcareai-examples
30 Specialized Medical Datasets for AI Research.
ReXGradient‑160K - https://huggingface.co/datasets/rajpurkarlab/ReXGradient-160K
CheXpert Plus - https://aimi.stanford.edu/datasets/chexpert-plus
Pixta AI Medical Imagery - https://datarade.ai/data-products/pixta-ai-medical-imagery
Endoscapes 2023 - https://github.com/CAMMA-public/Endoscapes
Surg‑3M - https://github.com/visurg-ai/surg-3m
AFRICAI Repository - https://conferences.miccai.org/2024/en/OPEN-DATA.html
OpenOximetry - https://physionet.org/content/openox-repo/
DeepLesion - https://nihcc.app.box.com/v/DeepLesion
BioASQ Synergy 2024 - https://participants-area.bioasq.org/datasets/
CliniFact - https://www.nature.com/articles/s41597-025-04417-x
MultiCardioNER - https://zenodo.org/records/11368861
CARMEN‑I - https://zenodo.org/doi/10.5281/zenodo.10171661
ELCardioCC - https://participants-area.bioasq.org/datasets/
Hallucination Annotations - https://physionet.org/content/ann-pt-summ/
Clinical‑Trial Eligibility QA - https://physionet.org/content/mimic-iv-ext-apixaban-trial/
PIFIR - https://physionet.org/content/pifir/
Syntegra Synthetic EHR - https://datarade.ai/data-products/syntegra-synthetic-health-data
GREGoR R02 - https://anvilproject.org/news/2024/11/21/gregor-consortium
Synthetic Rare‑Disease EHRs - https://ojrd.biomedcentral.com/articles/10.1186/s13023-024-03254-2
Korea4K - https://ega-archive.org/datasets/EGAD00001015348
OpenNeuro - https://openneuro.org/datasets
BioLaySumm - https://biolaysumm.org
Bridge2AI‑Voice - https://physionet.org/content/b2ai-voice/
PMDB Pain Monitoring - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0315343
DREAMT Wearable Sleep - https://physionet.org/content/dreamt/
MC‑MED - https://physionet.org/content/mc-med/
Wearable Stress Dataset - https://physionet.org/content/wearable-device-dataset/
MIMIC‑IV v3.1 - https://physionet.org/content/mimiciv/3.1/
MIETIC - https://physionet.org/content/mietic/
ODD - https://physionet.org/content/nlp-opioid-behavior-detection/
More
SLMs in Healthcare: A Survey
Unlike vanilla contextual pre-trained fundamentally small language models (e.g., ClinicalBERT), our interest lies in compressed and optimized approaches for language models in healthcare, developed as a resource-efficient and domain-specialized solution to LLMs. https://github.com/drmuskangarg/SLMs-in-healthcare/