60% of Nurses Don't Trust Their Hospital's AI — May 18, 2026

Most hospitals running AI agents have no idea if they actually work.Run time: 20:30In today's episode:Only 59 percent of health orgs track their AI agentsQure.ai Aira deployed across Mozambique's national health systemAnnalise.ai goes network-wide at Parkway SingaporeNature Medicine: clinical trials for self-updating AINature Medicine: the AI co-scientist arrives in the clinicGoogle Health Coach launches tomorrow on GeminiAnthropic Code with Claude London hits tomorrowAnthropic briefs finance regulators on Claude Mythos risksTL;DR:Healthcare IT Today's May 17 industry digest surfaced two governance numbers worth pinning above every CIO's desk: only 59% of healthcare orgs actively track the performance of their AI agents in production, and 60% of nurses say they lack confidence in their organization's AI oversight — a credibility gap that lands the same week as Aidoc's CARE foundation model and Bayesian Health's continuous-sepsis monitor scale clinically.Nature Medicine published "Clinical trials for continuously monitored and updated AI systems" by van Amsterdam, Oberst, Feng et al., proposing a conceptual framework that separates AI-intrinsic monitoring/updating from trial-oversight monitoring — the methodological companion to last week's Frontiers in Science manifesto on adaptive surgical robots and the FDA's real-time trials pilot.VillageReach and Qure.ai have deployed Aira — Qure.ai's LLM-powered co-pilot for community health workers — across Mozambique's national health system under a Gates Foundation pandemic-preparedness grant, embedding it in the AlôVida hotline and PHEOC for early signal detection across primary care; pairs with last week's Anthropic-Gates $200M deal on neglected diseases.Sources cited:Healthcare IT TodayVillageReach announcementIHH HealthcareNature MedicineNature MedicineTechCrunchClaude.comLet's Data ScienceSubscribe: YouTubemedAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.