The Book
The Future of AI in Medicine
A book written in the open — free to read, one chapter at a time. Exploring how AI will transform diagnosis, treatment, and the fundamental nature of clinical practice.
Augmentation
AI should amplify human clinical judgment, not replace it.
Transparency
Any AI influencing medical decisions must be explainable.
Equity
Technology must reduce disparities, not encode them.
A Note Before the Movie Starts
On writing a book about AI transparency — transparently, with AI.
Welcome to the Future: Why AI Will Redefine Medicine
An introduction to the seismic shift happening at the intersection of artificial intelligence and healthcare.
Demystifying the Black Box: How AI Actually Learns
How artificial intelligence learns from data — explained not through equations, but through the lens of clinical intuition and the human brain's own pattern recognition.
The Diagnostic Revolution
From Watson's failures to FDA-cleared breakthroughs — how AI is transforming diagnosis, and why the first real movie is now playing in hospitals around the world.
When the Machine Kills: The Anatomy of AI Failure in Medicine
What happens when compounding AI errors cascade through a hospital at 3 AM — and why the solution is not retreat, but better immunology.
The Surgeon and the Machine: When AI Gets a Body
What happens when artificial intelligence stops advising and starts acting — holding the scalpel, navigating living tissue, making decisions at the speed of a heartbeat.
The Molecule as Patient: AI Reimagines Drug Discovery
When AI stops reading the body and starts designing for it — generating molecules no chemist imagined, testing them at speeds that compress decades into months, and confronting the deepest question in pharmaceutical science: why does a drug that works in a test tube fail in a human being?
Maria's Movie
You are sixty-one years old. You are lying on a gurney in a hallway. The machines are watching you. None of them are seeing you.
The Radiologist Who Disappeared
What happens when the machine can see what you trained a decade to see — and sees it faster, across more dimensions, in patients you will never meet? The answer is not obsolescence. It is liberation.
The Therapist in Your Pocket: AI and Mental Health
In every other chapter, the question was whether the machine could do what the human does. In mental health, the question inverts: can a therapeutic relationship exist without two humans? And if patients say it can — who gets to say they're wrong?
The Algorithm Has No Conscience (And That's the Point)
The algorithm cannot tell right from wrong. It has no moral compass, no conscience, no capacity for guilt. This is not a deficiency to fix. It is a mirror that forces medicine to articulate, for the first time, what it actually values.
The Physician's Cut
You are the physician. It is 6:02 AM. The algorithm has filed its overnight report. Forty-three alerts. You have twelve minutes before rounds. Every alert is a frame from someone's movie. You are the editor who decides which frames the patient sees.
The Digital Twin Paradox
Your digital ghost gets sick before you do. Someone has to decide what to tell you. Welcome to the age of predictive medicine — where the most dangerous thing an algorithm can do is be right.
The Last Photograph
After ten chapters of movies, the book ends with a single frame. One physician. One patient. One room. The moment where computation ends and medicine begins.
The Biased Pixel
The system observes a physician in Room 3 deviate from protocol. It logs the anomaly. It does not understand what it is seeing.
This book is free and open. Support thoughtful AI in medicine.