Healthcare AI News 9/24/25

News

A new ASTP report says that 71% of hospitals used predictive AI tools in EHRs in 2024, mainly for outcomes, but increasingly for billing and scheduling.

Cleveland Clinic will expand its rollout of AI-powered sepsis detection system from Bayesian Health, in which it is an investor.

Clinic operator Akido Labs uses a proprietary LLM to let medical assistants conduct visits that are guided by ScopeAI, which generates and adapts questions, then summarizes the encounter for physician review. The company says the approach allows doctors to see four to five times more patients.

Business

Apple says that it  applied AI to its Heart and Movement Study data to build an algorithm that powers blood pressure monitoring in the new Apple Watch.

Research

An AI model that was trained on population data forecasts rates and outcomes across 1,000 diseases more accurately than many standard models, while also identifying comorbidity patterns over time.

A study says that the rollout of imaging AI in NHS hospitals has proven harder than expected, citing long procurement and contracting timelines, challenges in integration with legacy systems, resistance from skeptical clinical staff, and uneven governance. The authors conclude, “While AI tools may offer valuable support for diagnostic services, they may not address current healthcare service pressures as straightforwardly as policymakers may hope.”

Other

Albania’s government pledges a healthcare transformation that will be based on introducing AI in hospitals and expanding international alliances.

Expper Technology’s “huggable” AI robot Robin is being used in 30 nursing homes and pediatric units to offset staff shortages, engaging patients with music, conversation, jokes, and memory games. Thirty percent of Robin’s actions are autonomous,  while remote operators control the rest under clinical supervision.

Mayo Clinic nurses help build an AI-powered, EHR-integrated virtual assistant that creates nurse-specific patient summaries with links to clinical references.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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