Be Curious, Not Judgmental
Ruminations and musings about healthcare AI, technology, and strategy
Tag: Clinical-AI
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The Patient Will See You Now
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For two decades, technology has expanded patient agency over information. Search put medical knowledge in the browser. Wearables put physiology on the wrist. LLMs put explanation on demand. All of that mattered, but none of it changed where medicine begins. Patients became better informed participants in institutional care. They could read more, track more, and ask better questions. But the choreography around the patient stayed the same. The system initiated.… Read more
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The Humbling Math of Health AI: Why ChatGPT Can’t Grade Your Heart Yet
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During my time at Apple, I developed deep respect for the engineers and data scientists working on algorithms for the Apple Watch. Watching them develop features like irregular rhythm detection for atrial fibrillation gave me an appreciation for just how hard this work is. The Apple Watch generates continuous, high-frequency data streams: heart rate sampled throughout the day, HRV measured during sleep, motion data at sub-second intervals. The sheer volume… Read more
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The New Computer in the Clinic
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Andrej Karpathy describes the current moment as the rise of a new computing paradigm that he calls Software 3.0. as large language models emerge not just as clever chatbots but as a “new kind of computer” (“LLM OS”). In this model, the LLM is the processor, its context window is the RAM, and a suite of integrated tools are the peripherals. We program this new machine not with rigid code,… 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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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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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