Google reports no safety interruptions in 98 supervised AMIE chats

In a post dated October 8, 2026, Google reported that none of 98 patients’ conversations with its AMIE research chatbot required interruption under predefined safety criteria. The patients used the diagnostic chatbot before urgent care visits at Beth Israel Deaconess Medical Center’s ambulatory primary care clinic, while physicians monitored the exchanges live.

The clinicians’ feedback points to a possible role in visit preparation. According to Google, AMIE’s summaries helped clinicians prepare in 75% of cases and influenced their approach to care in more than half. Those are reports of usefulness and influence, not measures of whether patients received better care.

Google also said AMIE’s differential diagnoses matched doctors’ final diagnoses 90% of the time. Its short account does not define a match, explain the scoring method or give the case counts behind that percentage. The figure therefore needs more context before it can serve as a clear measure of diagnostic performance.

The safety finding has a similarly specific boundary: these conversations took place under live physician supervision. The post does not spell out the interruption criteria, and the reported result does not establish how AMIE would behave without that oversight.

Google said the study, led by researchers at the company and BIDMC, was published in The Lancet that day. The figures here come from the company’s account, not an examination of the paper. Google itself said larger clinical trials were needed to assess patient-facing AI at scale.