AI in Medicine
16 postsThese are the medical AI studies I found useful, strange, overhyped, or worth watching. I care most about what changes once the software meets an actual patient.
Timeline: AI in Medicine
Scroll sideways, then hover or tap any dot to open the story.
Machine Learning is Born
Arthur Samuel at IBM creates a checkers-playing program and coins the term "machine learning." The first computer that learned from experience rather than explicit instructions.
MYCIN: The First Medical AI
Stanford's MYCIN used 600 rules to diagnose bacterial infections as well as expert physicians. It proved AI could reason like a doctor, even if it never saw clinical use.
Neural Networks Detect Cancer
Researchers first applied neural networks to medical images, teaching computers to spot abnormalities in X-rays - the foundation of modern radiology AI.
The Deep Learning Revolution
Geoffrey Hinton's team wins ImageNet using deep learning, slashing image recognition errors. Within years the same tech reshaped medical imaging.
DeepMind Reads the Eye
Google DeepMind's AI diagnosed eye disease from retinal scans as accurately as world-leading ophthalmologists - the first clear match to specialist doctors.
Stanford AI Beats Dermatologists
A Stanford algorithm trained on 130,000 skin images matched board-certified dermatologists at diagnosing skin cancer. Published in Nature.
AlphaFold Solves Protein Folding
DeepMind cracked a 50-year-old mystery - predicting 3D protein shapes from amino acid sequences. A revolution for drug discovery.
FDA Approves Autonomous AI
The FDA approved the first AI that can diagnose a condition - diabetic retinopathy - entirely on its own, without a doctor reviewing the result.
ChatGPT Passes the Medical Exam
GPT-4 passed the US Medical Licensing Exam at or above the passing threshold. Physicians began debating AI's role in clinical reasoning.
AI-Designed Drugs Enter Human Trials
The first drug molecules designed entirely by AI entered Phase 1 human trials, led by Insilico Medicine and Recursion Pharmaceuticals.
Who's writing this?
I'm Jack Nassiri, a Loyola High School student who reads medical and training research because the claims are usually more interesting once you open the paper.