Towards conversational diagnostic artificial intelligence
Abstract At the heart of medicine lies physician–patient dialogue, where skillful history-taking enables effective diagnosis, management and enduring trust 1,2 . Artificial intelligence (AI) systems capable of diagnostic dialogue could increase accessibility and quality of care. However, approximating clinicians’ expertise is an outstanding challenge. Here we introduce AMIE (Articulate Medical Intelligence Explorer), a large language model (LLM)-based AI system optimized for diagnostic dialogue. AMIE uses a self…
In a randomized double-blind crossover study of text consultations, AMIE showed greater diagnostic accuracy than primary care physicians.
Findings are limited by use of synchronous text chat that is unfamiliar in clinical practice and need for further research before real-world translation.
Evidence
- Peer-reviewedNature2025-04-09
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Truvace Impact Record TRV-2026-0530, v1: “Towards conversational diagnostic artificial intelligence.” Truvace, 2026-07-24. /record/TRV-2026-0530 (accessed at citation time). sha256 d4d0c911bceed49f…
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