16 Articles about AI & Health Care

AI’s big test: Making sense of $4 trillion in medical expenses - Politico

How to Use ChatGPT for Health: Doctors, Professionals Give Tips - Bloomberg 

AI is accelerating drug discovery but if clinical development fails to keep pace, the benefits to patients will be delayed - McKinsey

Medical AI Tools Can Make Dangerous Mistakes. Can the Government Help Prevent Them? - WSJ 

UnitedHealth uses AI model with 90% error rate to deny care, lawsuit alleges – Ars Technica

AI that reads brain scans shows promise for finding Alzheimer’s genes – Nature  

New A.I. Tool Diagnoses Brain Tumors on the Operating Table – New York Times

Health data in the UK is about to flow more freely, like it or not (podcast) – The Guardian

Doctors Wrestle With A.I. in Patient Care, Citing Lax Oversight – New York Times

Researchers at Northwestern Medicine have created a generative AI system that can create text reports interpreting chest radiographs as accurately as radiologists.  – Health IT Analytics

Where healthcare needs to focus for AI – Fast Company

ChatGPT was 72% accurate in clinical decision-making on medical cases drawn from textbooks, from diagnoses to care decisions - Axios

How to Use ChatGPT for Cognitive Behavioral Therapy - MakeUseOf

Balancing The Pros And Cons Of AI In Healthcare – Forbes

Google reveals new generative AI models for healthcare – Health Care Dive

Eliminating Racial Bias in Health Care AI – Yale School of Medicine

15 Articles about The Potential Impact of AI on Medicine

Why AI Is Medicine’s Biggest Moment Since Antibiotics - Wall Street Journal  

I’m an ER doctor: Here’s what AI startups get wrong about “ChatGPT for telehealth” – Fast Company

Hospital bosses love AI. Doctors and nurses are worried. – Washington Post

Deep Learning Model Detects Diabetes Using Routine Chest Radiographs – Health IT Analytics

AI Helps a Stroke Patient Speak Again, a Milestone for Tech and Neuroscience - New York Times

Google DeepMind’s AI Model Scours Our Genes to Guess Who Might Get Sick - Wall Street Journal

A boy saw 17 doctors over 3 years for chronic pain. ChatGPT found the right diagnosis - NBC Today Show

AI might be listening during your next health appointment - Axios

A step towards AI-based precision medicine - Science Daily

Is the Eye the Window to Alzheimer’s? New AI tools could diagnose the disease with visual scans - Wall Street Journal 

Predicting epileptic seizures with AI - RIU Research  

AI’s potential to accelerate drug discovery needs a reality check - Nature

An AI Tool That Can Help Forecast Viral Outbreaks – Harvard Medical School

Microsoft announces new AI tools to help doctors deliver better care – CNBC

New AI Tools Must Have Health Equity in Their DNA - JAMA Network

Earnest was right, but no on listened

As legend has it, Ernest Duchesne was a student at a French military medical school in the 1890s when he noticed that the hospital’s stable boys who tended the horses did something peculiar: They stored their saddles in a damp, dark room so that mold would grow on their undersurfaces. They did this, they explained, because the mold helped heal the horses’ saddle sores. Duchesne was fascinated and conducted an experiment in which he treated sick guinea pigs with a solution made from mold—a rough form of what we’d now call penicillin. The guinea pigs healed completely. Duchesne wrote up his findings in a thesis, but because he was unknown and young—only 23 at the time—the French Institut Pasteur wouldn’t acknowledge it. His research vanished, and Duchesne died 15 years later of tuberculosis (a disease that would someday be treatable with antibiotics). It would take 31 years for the Scottish scientist Alexander Fleming to rediscover penicillin, independently and with no idea that Duchesne had already done it. In those three decades, untold millions of people died of diseases that could have been cured. Failed networks kill ideas.

Clive Thompson, Smarter Than you Think