aceConversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study
Background Artificial intelligence (AI)-based systems show promise for assisting primary care providers (PCPs) with patient care. We aimed to evaluate the safety and quality of clinical conversations of a patient-facing conversational AI system, which engaged in real-world urgent primary care appointments. Methods In this prospective, single-centre, single-arm feasibility study, English-speaking patients aged at least 18 years interacted with the Articulate Medical Intelligence Explorer (AMIE) up to 5 days befor…
In supervised pre-visit chats with AMIE, no conversation needed a safety stop, and clinicians rated the conversations favourably on most criteria. Primary care physicians who read the transcripts often found them helpful for visit preparation.
This was a single-centre, single-arm feasibility study with physician supervision. The authors state that further research is needed, and the evidence covers safety, conversation quality and acceptance rather than clinical outcomes.
Evidence
- Peer-reviewedThe Lancet2026-10-08
How should this claim be treated?
Truvace Impact Record TRV-2026-1692, v1: “Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study.” Truvace, 2026-10-17. /record/TRV-2026-1692 (accessed at citation time). sha256 77ee6bb9161aa265…
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