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Human visual explanations mitigate bias in AI-based assessment of surgeon skills.
Kiyasseh, Dani; Laca, Jasper; Haque, Taseen F; Otiato, Maxwell; Miles, Brian J; Wagner, Christian; Donoho, Daniel A; Trinh, Quoc-Dien; Anandkumar, Animashree; Hung, Andrew J.
Afiliación
  • Kiyasseh D; Department of Computing and Mathematical Sciences, California Institute of Technology, California, CA, USA. danikiy@hotmail.com.
  • Laca J; Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA.
  • Haque TF; Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA.
  • Otiato M; Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA.
  • Miles BJ; Department of Urology, Houston Methodist Hospital, Texas, TX, USA.
  • Wagner C; Department of Urology, Pediatric Urology and Uro-Oncology, Prostate Center Northwest, St. Antonius-Hospital, Gronau, Germany.
  • Donoho DA; Division of Neurosurgery, Center for Neuroscience, Children's National Hospital, Washington DC, WA, USA.
  • Trinh QD; Center for Surgery & Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Anandkumar A; Department of Computing and Mathematical Sciences, California Institute of Technology, California, CA, USA.
  • Hung AJ; Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA. ajhung@gmail.com.
NPJ Digit Med ; 6(1): 54, 2023 Mar 30.
Article en En | MEDLINE | ID: mdl-36997642
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido