Be Curious, Not Judgmental
Ruminations and musings about healthcare AI, technology, and strategy
Tag: AI-Healthcare
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When AI Meets Aggregation Theory in Healthcare
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Epic calls itself a platform. And with the show of force at UGM last week, that’s exactly how the company now describes itself: inviting vendors to “network with others working on the Epic platform,” marketing a “cloud‑powered platform” for healthcare intelligence, and selling a “Payer Platform” to connect plans and providers. Even customer stories celebrate moving to “a single Epic platform.” But is Epic really a platform? The TL/DR is… Read more
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America’s Patchwork of Laws Could Be AI’s Biggest Barrier in Care
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AI is learning medicine, and early state rules read as if regulators are regulating a risky human, not a new kind of software. That mindset could make sense in the first wave, but it might also freeze progress before we see what these agents can do. When we scaled operations at Carbon Health, the slowest parts were administrative and regulatory–months of licensure, credentialing, and payer enrollment that shifted at each… Read more
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The Gameboard for AI in Healthcare
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Healthcare was built for calculators. GPT-5 sounds like a colleague. Traditional clinical (as I explored in the new computer in the clinic) software is deterministic by design, same input and same output, with logic you can trace and certify. That is how regulators classify and oversee clinical systems, and how payers adjudicate claims. By contrast, the GPT-5 health moment that drew attention was a live health conversation in which the… Read more
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GPT-5 vs Grok4, No Health AI Champion Yet
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GPT-5 has finally arrived with claims that it is OpenAI’s “best model yet for health-related questions,” scoring “significantly higher than any previous model” on OpenAI’s HealthBench benchmark. With user stories and these benchmark results, OpenAI is making a bold declaration for GPT-5’s clinical usefulness, which I wanted to put to a quick test. I ran GPT-5 through the same five prompts I used in my earlier post to assess Grok4’s… Read more
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AI Can’t “Cure All Diseases” Until It Beats Phase 2
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One of the big dreams of AI researchers is that it will soon solve drug discovery (as I explored in AI drug discovery and engineering serendipity) and unleash a boom in new life-saving therapies. Alphabet committed $600 million in new capital to Isomorphic Labs on that rhetoric, promising to “cure all diseases” as its first AI‑designed molecules head to humans next year. And the first wave of AI molecules is moving… Read more
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Level‑5 Healthcare: Why Prescribing Will Decide When AI Becomes a Real Doctor
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Every week seems to bring another paper or podcast trumpeting the rise of diagnostic AI. Google DeepMind’s latest pre‑print on its Articulate Medical Intelligence Explorer (AMIE) is a good example: the model aced a blinded OSCE against human clinicians, but its researchers still set restrictive guardrails, forbidding any individualized medical advice and routing every draft plan to an overseeing physician for sign‑off. In other words, even one of the most advanced AI clinical systems… Read more
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Apple Watch: From Activity Rings to an AI-Powered Check-Engine Light
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I had a front-row seat to the evolution of the Apple Watch as a health device. In the early days, it was clear that activity tracking was the killer use case and the Apple Watch hit its stride with millions of users closing their three Activity Rings every day. Over time, Apple added more sensors and algorithms with the FDA clearances of the irregular rhythm notification and the ECG app… Read more
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Don’t Believe the Hype — Medical Superintelligence Isn’t Here Yet
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The AGI hype is in full effect with new frontier model achievements every month and an arms-race for AI talent heating up. Last week, Elon claimed Grok 4 was “better than PhD level at everything,” with a record score on Humanity’s Last Exam and best ever on ARC-AGI-2. Google had its own announcement with MedGemma-27 B (multimodal) hitting 87.7 percent on MedQA; Microsoft had already pitched its Medical AI Diagnostic Orchestrator… Read more
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What I’ve Learned About LLMs in Healthcare (so far)
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It has been a breathless time in technology since the GPT-3 moment, and I’m not sure I have experienced greater discordance between the hype and reality than right now, at least as it relates to healthcare. To be sure, I have caught myself agape in awe at what LLMs seem capable of, but in the last year, it has become ever more clear to me what the limitations are today… Read more