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A new commentary explores how AI in virtual front doors is enabling more personalized, equitable, and efficient care triage in Australia, advancing the goal of delivering the right care, in the right place, the first time. Learn more: nejm.ai/4dxevps

I’m not sure I disagree with this…

Unsurprisingly Cyril Zakka, MD says it better than I could. These are the exact concerns I have about the way we are integrating LLMs into clinical care. It *might* not matter, but we are all participating in an educational Pascal's wager right now. A 🧵🔽

I misdiagnosed myself using AI and applied wrong treatment for a month. Recently saw a physician who diagnosed it in 2 minutes and knew why I was mistaken. I’m bullish about AI but it’s important to be intellectually honest about where it works and where it’s not there yet.

Wow. "A landmark guide for patients": a #PatientsUseAI how-to for thyroid patients open.substack.com/pub/patientsus…

Which healthcare workers use genAI the most 1. Medical librarian: 53% 2. Nursing: 46% 3. Administration: 43% 4. Pharmacy: 41% 5. Physician: 38% 6. Allied health: 26%

The flip side to the concerns about violating copyright in training data is that there is a also a vast trove of important work that nobody reads & where it would be very good if AIs were trained on it. (Most scientific articles, many reports, a lot of old literature & records)

Woman has lingering sore throat. Doctor tells her to wait it out, ChatGPT suggests an ultrasound, which reveals…aggressive thyroid cancer. I tell all my friends and family - please get a second opinion on medical stuff from AI. It might save your life!

“He only hangs out with models now” means a very different thing in SF

We're taking a big step towards medical superintelligence. AI models have aced multiple choice medical exams – but real patients don’t come with ABC answer options. Now MAI-DxO can solve some of the world’s toughest open-ended cases with higher accuracy and lower costs.

As some of you may know, I recently moved to London to help lead a new Health AI team! Excited for our first research paper, which demonstrates that AI can tackle medicine’s toughest diagnostic challenges -- at 4x higher accuracy and 20% lower costs than a group of physicians🧵

Microsoft claims their new AI framework diagnoses 4x better than doctors. I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵

📢 AI-enabled drug discovery reaches clinical milestone rdcu.be/eugUu Few AI-designed drug candidates have gone beyond in silico benchmarks. Now, a study in Nature Medicine Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs) reports a successful phase 2a trial of rentosertib, an AI-discovered drug and

what happens when AI commoditizes diagnosis?

When AI “commoditizes diagnosis” we have only set the table stakes for the real game: wise and skillful clinical decision-making and management. It’s only the current decrepit state of access to human expert diagnostics that makes this first step at all compelling. HT

It’s kind of interesting, but in some ways AI is making CS much more like biology. We can observe and tweak what it does, but we really don’t know how it’s doing it. A science and engineering discipline rooted in empiricism over theory. I wonder if this trend continues.

OpenAI Head of ChatGPT Nick Turley says the future of AI in medicine isn't about replacing doctors. It's about scaling the second opinion. Helping doctors ask better questions, when no one else is around. “You end up helping doctors gain confidence.” But as the model surpasses

Props to Isaac Kohane for being the first person to put in an analysis request for my CMS RFI MCP stack. I had Claude 4 Opus code do "/analysis-workflow" to find and analyze 125 comments from patients, then asked Gemini 2.5 Pro to write up a report based on these. (I ran out of

A GPT-powered medical device certified in Europe raises questions about generative AI in health care statnews.com/2025/07/03/ai-… via STAT