Transparency of artificial intelligence/machine learning-enabled medical devices.

Shick, Aubrey A; Webber, Christina M; Kiarashi, Nooshin; Weinberg, Jessica P; Deoras, Aneesh; Petrick, Nicholas; Saha, Anindita; Diamond, Matthew C

Shick, Aubrey A; Webber, Christina M; Kiarashi, Nooshin; Weinberg, Jessica P; Deoras, Aneesh; Petrick, Nicholas; Saha, Anindita; Diamond, Matthew C.

Afiliação

Shick AA; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA. Aubrey.Shick@fda.hhs.gov.
Webber CM; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Kiarashi N; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Weinberg JP; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Deoras A; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Petrick N; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Saha A; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Diamond MC; Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.

NPJ Digit Med ; 7(1): 21, 2024 Jan 26.

Article em En | MEDLINE | ID: mdl-38273098

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Digit Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

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