ai-healthcare

3 items

NBC News · 2026-05-14 2026-05-15-w2

OpenEvidence: Most physicians quietly use this medical AI tool

OpenAI launched ChatGPT for Clinicians in April without licensing NEJM or JAMA. OpenEvidence has both, and the market repriced it from $1B to $12B in 15 months on the back of 65% US physician reach and 27 million April clinical encounters. The binding constraint for entering credentialed verticals was never model quality; it was licensed-data governance and the operational-regime approval that comes with it. The Deployment Company and the LF Networking pattern this week are structurally identical: the moat that holds isn't capability, it's the layer of credential, distribution, or implementation sitting above it. For frontier labs, that means the verticals with the clearest content-licensing moats (clinical, legal, financial) will reprice fastest against whoever shows up without the corpus.

NBC News 2026-05-14-2

OpenEvidence: Most physicians quietly use this medical AI tool

OpenAI launched ChatGPT for Clinicians in April without licensing NEJM or JAMA. OpenEvidence has both, hit 65% of US physicians across 27 million April clinical encounters, and got repriced from $1B to $12B in 15 months. The binding constraint for frontier labs entering credentialed verticals is content licensing, not model capability, and OpenAI just supplied the revealed-preference proof.

New York Times Magazine 2026-04-15-3

Why It's Crucial We Understand How A.I. 'Thinks'

Interpretability's real breakthrough isn't cracking the black box: it's using imperfect understanding to extract hypotheses humans missed. Goodfire and Prima Mente's Alzheimer's biomarker discovery reframes the field from safety obligation to discovery engine. The commercial signal matters more than the methodology debates: $1.25B for a standalone interpretability lab means enterprises will pay for explanation scoped to specific use cases, not universal model transparency.