Study in The Lancet suggests AI could improve patient-physician relationships.

Ashwani Kumar — Thu, 22 Oct 2026 12:20:40 +0000

Study in The Lancet suggests AI could improve patient-physician relationships.

Can AI safely assess patients’ needs before they step into a doctor’s office? A study led by researchers at Google and Beth Israel Deaconess Medical Center (BIDMC) and published in The Lancet today, offers an encouraging first look. As Google’s first-ever publication in the main journal of The Lancet, this research marks a significant milestone.

In a real-world clinical study at BIDMC’s ambulatory primary care clinic, 98 patients consulted AMIE, our research diagnostic AI chatbot, ahead of urgent care visits. Supervising physicians monitored the interactions in real time, and not a single conversation needed to be interrupted based on predefined safety criteria. And clinicians reported that the AI summaries helped them prepare for visits in 75% of cases and influenced their approach to care in more than half. AMIE’s differential diagnoses also matched the doctors’ final diagnoses 90% of the time.

While larger clinical trials are needed to assess patient-facing AI at scale, the findings suggest the potential for AI to enhance the patient-physician relationship and ease the strain on healthcare workers. And they demonstrate meaningful progress as we push the boundaries of what’s possible for AI in science and health. Read the complete research paper in The Lancet.

A study published in The Lancet led by researchers from Google and Beth Israel Deaconess Medical Center (BIDMC) shows that using a diagnostic AI chatbot named AMIE for pre-visit patient intake can improve clinical preparation without disrupting patient care. [1, 2]

Key Study Findings

Real-World Testing: Researchers tested AMIE with 98 patients ahead of urgent care visits at BIDMC’s ambulatory primary care clinic. [1]
Safety and Oversight: Board-certified internists monitored every conversation live, and zero safety stops or interruptions were triggered. [1, 2]
Diagnostic Accuracy: AMIE’s differential diagnosis matched the final chart-adjudicated reference diagnosis in 90% of cases without using electronic health record (EHR) history or physical exams. [2]
Physician Impact: Primary care doctors reported that the AI intake summaries helped them prepare for visits in 75% of cases and influenced their clinical approach in 57% of cases. [1, 2]
Patient Perspectives: Patients rated the conversation quality favorably and felt listened to, though they expressed lingering concerns regarding data confidentiality, honesty, and trustworthiness. [3, 4]