Relevance of ChatGPT's Responses to Common Hypertension-Related Patient Inquiries.

Yano, Yuichiro; Nishiyama, Akira; Suzuki, Yusuke; Morimoto, Satoshi; Morikawa, Takashi; Gohda, Tomohito; Kanegae, Hiroshi; Nakashima, Naoki

Yano, Yuichiro; Nishiyama, Akira; Suzuki, Yusuke; Morimoto, Satoshi; Morikawa, Takashi; Gohda, Tomohito; Kanegae, Hiroshi; Nakashima, Naoki.

Afiliación

Yano Y; Noncommunicable Disease Epidemiology Research Center, Shiga University of Medical Science, Japan (Y.Y.).
Nishiyama A; Department of Family Medicine and Community Health, Duke University, Durham, NC (Y.Y.).
Suzuki Y; Department of Pharmacology, Faculty of Medicine, Kagawa University, Japan (A.N.).
Morimoto S; Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan (Y.S., T.G.).
Morikawa T; Department of Internal Medicine, Tokyo Women's Medical University, Japan (S.M.).
Gohda T; Department of Nephrology and Hypertension, Osaka City General Hospital, Japan (T.M.).
Kanegae H; Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan (Y.S., T.G.).
Nakashima N; Office of Research and Analysis, Genki Plaza Medical Center for Health Care, Tokyo, Japan (H.K.).

Hypertension ; 81(1): e1-e4, 2024 Jan.

Article en En | MEDLINE | ID: mdl-37916418

Palabras clave

artificial intelligence; delivery of health care; health facilities; humans; medicine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Hypertension Año: 2024 Tipo del documento: Article