October 8, 2026 · Lancet (London, England) · DOI: 10.1016/S0140-6736(26)01535-7

Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study

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This study aimed to evaluate the safety and quality of interactions between patients and a patient-facing conversational AI system, AMIE, during urgent primary care appointments. The results indicated no safety issues, with high ratings for conversation quality from both clinical evaluators and patients, suggesting positive user acceptance and potential benefits for primary care providers. The findings support the feasibility of integrating conversational AI into real-world clinical settings, although further research is necessary for broader application.

Peter G Brodeur, Jacob M Koshy, Anil Palepu, Khaled Saab, Ava Homiar, Roma Ruparel, Charles Wu, Ryutaro Tanno, Joseph Xu, Amy Wang, David Stutz, Wei-Hung Weng, Hannah M Ferrera, David Barrett, Lindsey Crowley, Jihyeon Lee, Spencer E Rittner, Ellery Wulczyn, Selena K Zhang, Elahe Vedadi, Christine G Kohn, Kavita Kulkarni, Vinay Kadiyala, S Sara Mahdavi, Wendy Du, Jessica M Williams, David Feinbloom, Renee Wong, Tao Tu, Petar Sirkovic, Alessio Orlandi, Christopher Semturs, Yun Liu, Juraj Gottweis, Dale R Webster, Joëlle Barral, Katherine Chou, Pushmeet Kohli, Avinatan Hassidim, Yossi Matias, James Manyika, Rob Fields, Jonathan X Li, Marc L Cohen, Vivek Natarajan, Mike Schaekermann, Alan Karthikesalingam, Adam Rodman

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