Healthcare & Hospitals
Clinical machine learning, medical imaging and the ethics and rules of health AI in India.
Beginner
Start here. No background needed beyond school maths.
AI in Healthcare Specialization (Stanford)
Stanford's introduction to how AI is used in hospitals: health data, clinical decision support, evaluating models and deploying them safely. Written for both clinicians and engineers. Free to audit on Coursera; the certificate is paid.
Coursera
Ayushman Bharat Digital Mission (ABDM)
India's digital health platform: health IDs, health records and the standards hospitals and health apps connect to. Useful background for building health products in India.
National Health Authority
ICMR Ethical Guidelines for AI in Biomedical Research and Healthcare
India's official guidance on using AI in health: patient consent, safety, data privacy, bias, accountability and ethics review. Essential reading before building any health AI tool in India.
ICMR
WHO: Ethics and Governance of AI for Health
The World Health Organization's guidance on the benefits and risks of AI in health and the six principles for using it responsibly.
World Health Organization
Advanced
Once the basics are comfortable.
Building and Scaling Health AI from Industry to Practice
A video from Stanford Center for AI in Medicine & Imaging on Building and Scaling Health AI from Industry to Practice. Best once you are comfortable with the basics of Healthcare & Hospitals. It plays here in the portal, and your progress is saved as you watch.
Stanford Center for AI in Medicine & Imaging
Health AI Deployment: Navigating Decisions and Constraints
A video from Stanford Center for AI in Medicine & Imaging on Health AI Deployment: Navigating Decisions and Constraints. Best once you are comfortable with the basics of Healthcare & Hospitals. It plays here in the portal, and your progress is saved as you watch.
Stanford Center for AI in Medicine & Imaging
Human-AI Collaboration in Clinical Workflows
A video from Stanford Center for AI in Medicine & Imaging on Human-AI Collaboration in Clinical Workflows. Best once you are comfortable with the basics of Healthcare & Hospitals. It plays here in the portal, and your progress is saved as you watch.
Stanford Center for AI in Medicine & Imaging
AIMI Grand Rounds: AI in the Loop: From Clinical Intelligence to Clinical Action - Maya Yiadom, MD
A video from Stanford Center for AI in Medicine & Imaging on AIMI Grand Rounds: AI in the Loop: From Clinical Intelligence to Clinical Action - Maya Yiadom, MD. Best once you are comfortable with the basics of Healthcare & Hospitals. It plays here in the portal, and your progress is saved as you watch.
Stanford Center for AI in Medicine & Imaging
Toward a Radiology Foundation Model - Curt Langlotz
A video from Stanford Center for AI in Medicine & Imaging on Toward a Radiology Foundation Model - Curt Langlotz. Best once you are comfortable with the basics of Healthcare & Hospitals. It plays here in the portal, and your progress is saved as you watch.
Stanford Center for AI in Medicine & Imaging
Machine Learning for Healthcare (MIT 6.S897)
MIT graduate course on what makes clinical data different and how machine learning is used for risk prediction, disease progression, diagnosis from images and improving hospital workflows. Lecture notes, videos and projects.
MIT OpenCourseWare
Medical Image Analysis (IIT Madras)
Automated analysis of X-ray, CT and MRI scans: image processing, registration, segmentation and computer-aided diagnosis, ending with 3D deep learning. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
MONAI Tutorials: Deep Learning for Medical Imaging
Ready-to-run notebooks for the open-source MONAI framework: loading medical scans, segmentation, classification and deployment.
Project MONAI