Healthcare AI News 11/19/25

News

Google releases Gemini 3 and Google Antigravity, a new agentic AI development platform.

Microsoft announces Agent 365, which helps enterprises deploy, organize, and govern agents that are developed internally or provided by ecosystem partners.

An anecdotal New York Times review of how people are using AI chatbots for medical purposes shows interesting points:

• A survey from last year shows that one in six adults, and one in four of those under 30, regularly seek medical information from AI bots like ChatGPT.
• The primary reasons for asking AI are lack of medical system support, excessive wait times, inattentive doctors, and unaffordable bills.
• Many users say that AI is kinder than their human providers.
• One woman copied ChatGPT’s responses and sent them to her oncologist to show how their bedside manner could improve.
• Another patient, frustrated by her PCP’s generic advice in response to her bone density questions, asked ChatGPT the same questions and immediately received specific diet instructions. She emailed her doctor to complain that ChatGPT gave her more information than they did. The patient says she does not not fully trust ChatGPT but is frustrated with the state of corporate medical care.

Business

Arbiter emerges from stealth with $52 million in funding to apply AI to longitudinal patient records to match referrals, automate authorizations, support outreach, and manage scheduling.

Ember, which offers AI technology for proactive denial prevention, prior authorizations and appeals, eligibility checks, and charge capture, raises $4.3 million in seed funding.

Medical imaging company Nanox will acquire VasoHealthcare IT, a health IT implementation services provider that will accelerate deployment of Nanox’s AI solutions.

RapidAI earns FDA clearance for its aortic disease assessment and management AI tool.

Medscape transforms searches of its site to an AI tool that can answer questions using its continuously updated content, peer-reviewed medical literature, and medical news.

Research

A Black Book Research survey of hospital leaders finds that hospitals are quickly piloting AI solutions, but lack the governance that is needed to ensure clarity, accountability, and proof of claims. Hospitals often fail to measure success factors during pilots and sign contracts that don’t require re-validation when the vendor makes major updates to its AI model. Three-fourths of respondents say their hospital has experienced at least one AI pilot that didn’t scale, most often because of endpoints that fail to measure clinical or operational impact, lack of performance data, and failure to integrate AI tools into existing workflows.

Contacts

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