AI-pilled veteran pushes back: diagnostics aren't the bottleneck, unrecorded clinical knowledge is
gregmushen · x · 2026-10-15
The author, who has tracked AI markers for 15 years and is deeply AI-pilled, argues against the viral 'get diagnostics → analyze with AI → follow the plan → get better' vision of future healthcare.
Key points:
- Diagnostics and their analysis are usually not the bottleneck. While AI can improve or add diagnostics, established ones come with interpretive frameworks and clinical recommendations grounded in empirical evidence, and AI cannot infer its way around empirical observation.
- A substantial share of clinical knowledge lives only in clinicians' accumulated experience and is never recorded or made available to models — models can't learn from information that doesn't exist in data.
- Some interventions used in practice lack high-quality supporting studies, yet still work — another blind spot AI cannot reason past.
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