Validity evidence supporting clinical skills assessment by artificial intelligence compared with trained clinician raters.

Johnsson, Vilma; Søndergaard, Morten Bo; Kulasegaram, Kulamakan; Sundberg, Karin; Tiblad, Eleonor; Herling, Lotta; Petersen, Olav Bjørn; Tolsgaard, Martin G

Johnsson, Vilma; Søndergaard, Morten Bo; Kulasegaram, Kulamakan; Sundberg, Karin; Tiblad, Eleonor; Herling, Lotta; Petersen, Olav Bjørn; Tolsgaard, Martin G.

Afiliação

Johnsson V; Center for Fetal Medicine, Department of Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Søndergaard MB; Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
Kulasegaram K; Copenhagen Academy for Medical Education and Simulation, Copenhagen, Denmark.
Sundberg K; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Tiblad E; Department of Family and Community Medicine and Scientist, Wilson Centre, Toronto, Ontario, Canada.
Herling L; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Petersen OB; Center for Fetal Medicine, Department of Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Tolsgaard MG; Center for Fetal Medicine, Karolinska University Hospital, Stockholm, Sweden.

Med Educ ; 58(1): 105-117, 2024 01.

Article em En | MEDLINE | ID: mdl-37615058

Assuntos

Competência Clínica; Educação Médica; Humanos; Avaliação Educacional; Inteligência Artificial; Reprodutibilidade dos Testes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Competência Clínica / Educação Médica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Med Educ Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Dinamarca

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