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Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction.
Olsson, Henrik; Kartasalo, Kimmo; Mulliqi, Nita; Capuccini, Marco; Ruusuvuori, Pekka; Samaratunga, Hemamali; Delahunt, Brett; Lindskog, Cecilia; Janssen, Emiel A M; Blilie, Anders; Egevad, Lars; Spjuth, Ola; Eklund, Martin.
Afiliação
  • Olsson H; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. henrik.olsson@ki.se.
  • Kartasalo K; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Mulliqi N; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Capuccini M; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
  • Ruusuvuori P; Institute of Biomedicine, University of Turku, Turku, Finland.
  • Samaratunga H; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Delahunt B; Aquesta Uropathology and University of Queensland, Brisbane, QLD, Australia.
  • Lindskog C; Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
  • Janssen EAM; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
  • Blilie A; Department of Pathology, Stavanger University Hospital, Stavanger, Norway.
  • Egevad L; Department of Pathology, Stavanger University Hospital, Stavanger, Norway.
  • Spjuth O; Faculty of Science and Technology, University of Stavanger, Stavanger, Norway.
Nat Commun ; 13(1): 7761, 2022 12 15.
Article em En | MEDLINE | ID: mdl-36522311
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Nat Commun Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Nat Commun Ano de publicação: 2022 Tipo de documento: Article