Hello, World! This space is a living collection of resources on AI in medicine, clinical AI, and medical AI, dedicated for learning, collaboration, and discovery.

🌍 It is an open and inclusive space: whether you’re a clinician, researcher, student, engineer, or simply curious, you’re welcome here.

🚀 The goal is to build a shared library and a community for future collaboration, talks, journal clubs, and research projects.

💡 To contribute or connect, reach out at [email protected] or use our Resource Suggestion Form.

🧰 Starter Kit

• Elements of AI — A free, beginner-friendly MOOC from the University of Helsinki and MinnaLearn. Course link
• AI for Healthcare Professionals — A four-module course from Clinical AI Academy designed for clinicians, covering what AI really is (and isn’t), how it learns, real-world case studies, and issues of trust, ethics, and regulation. Course link
• Google’s Generative AI for Healthcare — A self-paced, free course introducing generative AI, large language models, and their applications in healthcare. Course link

🎥 YouTube Lecture Series & Playlists

• AI & Machine Learning in Medicine (Stanford Medicine). ****Watch playlist
• AI in Medicine 2023 Lecture Series (ETH Zurich). Watch playlist
• Stanford’s AI in Medical Education Symposium 2025. Watch playlist

📄 Key Papers & Reviews

🩻 Medical Imaging

• CNN for skin cancer classification achieving dermatologist-level accuracy. Link
• Deep learning model outperforming radiologists in pneumonia detection on chest X-rays. Link
• First FDA-cleared autonomous AI diagnostic system for diabetic retinopathy. Link
• AI system for breast cancer screening. Link

💬 Natural Language Processing

• Foundational open-source system for clinical text analysis. Link