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The lucent yet opaque challenge of regulating artificial intelligence in radiology.
Hillis, James M; Visser, Jacob J; Cliff, Edward R Scheffer; van der Geest-Aspers, Kelly; Bizzo, Bernardo C; Dreyer, Keith J; Adams-Prassl, Jeremias; Andriole, Katherine P.
Afiliación
  • Hillis JM; Data Science Office, Mass General Brigham, Boston, MA, USA. james.hillis@mgh.harvard.edu.
  • Visser JJ; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. james.hillis@mgh.harvard.edu.
  • Cliff ERS; Harvard Medical School, Boston, MA, USA. james.hillis@mgh.harvard.edu.
  • van der Geest-Aspers K; Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Bizzo BC; Harvard Medical School, Boston, MA, USA.
  • Dreyer KJ; Program on Regulation, Therapeutics and Law, Brigham and Women's Hospital, Boston, MA, USA.
  • Adams-Prassl J; Department of Medical Technology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Andriole KP; Data Science Office, Mass General Brigham, Boston, MA, USA.
NPJ Digit Med ; 7(1): 69, 2024 Mar 15.
Article en En | MEDLINE | ID: mdl-38491126

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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