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Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays.
Gaube, Susanne; Suresh, Harini; Raue, Martina; Lermer, Eva; Koch, Timo K; Hudecek, Matthias F C; Ackery, Alun D; Grover, Samir C; Coughlin, Joseph F; Frey, Dieter; Kitamura, Felipe C; Ghassemi, Marzyeh; Colak, Errol.
Afiliação
  • Gaube S; LMU Center for Leadership and People Management, Department of Psychology, LMU Munich, Munich, Germany. susanne.gaube@psy.lmu.de.
  • Suresh H; Department of Infection Prevention and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany. susanne.gaube@psy.lmu.de.
  • Raue M; MIT Computer Science & Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Lermer E; MIT AgeLab, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Koch TK; LMU Center for Leadership and People Management, Department of Psychology, LMU Munich, Munich, Germany.
  • Hudecek MFC; Department of Business Psychology, University of Applied Sciences Augsburg, Augsburg, Germany.
  • Ackery AD; LMU Center for Leadership and People Management, Department of Psychology, LMU Munich, Munich, Germany.
  • Grover SC; Department of Psychology, LMU Munich, Munich, Germany.
  • Coughlin JF; Department of Experimental Psychology, University of Regensburg, Regensburg, Germany.
  • Frey D; Department of Emergency Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Kitamura FC; Division of Emergency Medicine, University of Toronto, Toronto, Canada.
  • Ghassemi M; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Colak E; Division of Gastroenterology, St. Michael's Hospital, Toronto, Canada.
Sci Rep ; 13(1): 1383, 2023 01 25.
Article em En | MEDLINE | ID: mdl-36697450
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article