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Tag: Clinical-AI

The New Computer in the Clinic

Healthcare is moving from "point-and-click" EHRs to "intent and oversight." LLMs can finally read clinical narratives, but they need deterministic guardrails to convert physician storytelling into safe, structured actions patients can trust.

Myoung Cha AI, Healthcare, Technology Leave a comment September 23, 2025December 30, 2025 4 Minutes

America’s Patchwork of Laws Could Be AI’s Biggest Barrier in Care

State AI rules are regulating software like a risky human, creating 50 versions of compliance. A federal framework could separate assistive from autonomous agents, letting FDA handle high-risk use while safe harbors accelerate adoption.

Myoung Cha AI, Healthcare, Technology Leave a comment August 16, 2025December 30, 2025 6 Minutes

The Gameboard for AI in Healthcare

Healthcare AI is stuck in "middle to middle"—helping clinicians draft and summarize, but not prescribing. Level-5 autonomy requires moving from probabilistic language to deterministic actions with verifiable plans and safety gates.

Myoung Cha AI, Healthcare, Technology Leave a comment August 10, 2025December 30, 2025 6 Minutes

GPT-5 vs Grok4, No Health AI Champion Yet

GPT-5 is more cautious than Grok4 with ambiguous inputs, but both fail anatomy vetoes and physics checks. Progress, not readiness. Until models enforce unit verification and constraint gates, they're promising tools, not dependable partners.

Myoung Cha AI, Healthcare, Technology Leave a comment August 8, 2025December 30, 2025 4 Minutes

Level‑5 Healthcare: Why Prescribing Will Decide When AI Becomes a Real Doctor

Diagnostic AI aces OSCEs but stops before writing scripts. Autonomous prescribing for titrations, refills, and simple infections could unlock Level-5 care. FDA already approves closed-loop insulin—lisinopril adjustments should follow the same path.

Myoung Cha AI, Healthcare, Technology Leave a comment July 26, 2025December 30, 2025 6 Minutes

Don’t Believe the Hype — Medical Superintelligence Isn’t Here Yet

Grok4 claims PhD-level performance but fails basic clinical safety checks—anatomy vetoes, unit verification, physics sanity. Benchmarks reward fluent certainty over real judgment. We need tests that measure trend detection, causal vetoes, and calibrated caution.

Myoung Cha AI, Business, Healthcare, Technology 1 Comment July 13, 2025December 30, 2025 7 Minutes
Featured

What I’ve Learned About LLMs in Healthcare (so far)

Microsoft's AI can diagnose NEJM cases at 85% accuracy, but real hospital charts are too messy for today's LLMs. The bottleneck isn't reasoning—it's context engineering that can parse fragmented, stale EHR data into something models can actually use.

Myoung Cha AI, Healthcare, Technology Leave a comment July 6, 2025December 30, 2025 7 Minutes
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