clinical_trials
[Articles] Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study
Confidence96·multiple reportsImportance98NP-EVT-20261008-F70BF62
Although further research is needed, this study shows the initial feasibility of conversational AI in a real-world setting—assessed via conversation safety and quality, as well as user acceptance—and represents a crucial step towards clinical translation.
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[Articles] Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study
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 · 10/8/2026, 10:30:01 PM
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