Awesome healthcare ai
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
A curated list of awesome open source healthcare tools, machine learning algorithms, datasets and research papers. The project is distributed under the Creative Commons Zero v1.0 Universal license, first published in 2020. Key topics include: awesome-list, awesome-lists, healthcare, healthcare-application, healthcare-datasets.
awesome-healthcare-ai 
A curated list of awesome open source healthcare tools, machine learning algorithms, datasets and research papers.
Disclaimer :exclamation: I am not a medical specialist, and there might be mistakes. :exclamation:
Contents
- :zap: Medical specialties
- :cyclone: Medical tasks
- :key: Medical privacy
- :book: References
Medical specialties
- Generic resources
- Allergy, Immunology, & Rheumatology
- Anesthesiology
- Cardiovascular Health
- Complimentary Medicine
- Critical Care
- Dermatology
- Emergency Medicine & Trauma
- Endocrinology & Metabolism
- Family Medicine & Community Health
- Gastroenterology & Hepatology
- Genetics & Genomics
- Gerontology
- Hematology
- Infectious Disease & Global Health
- Internal Medicine
- Nephrology
- Neurologic Surgery
- Neurology
- Obstetrics & Gynecology
- Occupational Therapy
- Oncology
- Ophthalmology
- Orthopedics & Sports Medicine
- Otolaryngology (ENT)
- Pain Medicine
- Pathology & Laboratory Medicine
- Pediatrics
- Physical Therapy
- Plastic Surgery
- Preventative Medicine & Nutrition
- Psychiatry & Behavioral Sciences
- Pulmonology
- Radiology
- Sleep Medicine
- Social Welfare
- Speech Pathology
- Surgery
- Urology
Medical tasks
- Semantic Segmentation
- Medical Image Segmentation
- 3D
- EEG
- 3D Absolute Human Pose Estimation
- Drug discovery
- Electrocardiography (ECG)
- Medical Diagnosis
- Medical Image Registration
- Cancer Detection
- Disease Prediction
- Sleep Quality prediction
- Mortality Prediction
- Synthetic Data Generation
- Epidemiology
- Skin diseases
- Medical Image Generation
- Length-of-Stay prediction
- Pneumonia Detection
- Seizure Detection
- Breast Tumour Classification
- Diabetic Retinopathy Detection
- Protein Secondary Structure Prediction
- Medical Relation Extraction
- Electromyography (EMG)
- Tomography
- Patient Outcomes
- Computational Phenotyping
- Lung Nodule Classification
- Mitosis Detection
- Mammogram
- Histopathological Image Classification
- Seizure prediction
- Lung Disease Classification
- Lung Nodule Detection
- Magnetic Resonance Fingerprinting
- Multi-Label Classification Of Biomedical Texts
- Readmission Prediction
- X-Ray subtasks
- Automatic Sleep Stage Classification
- Diabetic Foot Ulcer Detection
- ECG Classification
- Immune Repertoire Classification
- Participant Intervention Comparison Outcome Extraction
- Protein Function Prediction
- Surgical Gesture Recognition
- Surgical Skills Evaluation
- Ultrasound
- Cancer Metastasis Detection
- Chemical Reaction Prediction
- Diabetes prediction
- Epilepsy Prediction
- Knee Osteoarthritis Prediction
- Medical Report Generation
- Medical Super-Resolution
- Molecule Interpretation
- Pain Intensity Regression
- Pulmonary Embolism Detection
- Single-cell modeling
- White Matter Fiber Tractography
- Breast density classification
- Atrial Fibrillation
- Age-Related Macular Degeneration Classification
- ECG Risk Stratification
- Malaria Risk Exposure Prediction
- Medical Code Prediction
- Multi Diseases Detection
- Muscular Movement Recognition
- Sequential Diagnosis
- Medical VQA
Medical Privacy
- Safe harbour
- Anonymization
- De-identification
- Cryptography
References
Contributors
Showing top 3 contributors by commit count.
This article is auto-generated from medtorch/awesome-healthcare-ai via the GitHub API.Last fetched: 6/17/2026
