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To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems.
Amann, Julia; Vetter, Dennis; Blomberg, Stig Nikolaj; Christensen, Helle Collatz; Coffee, Megan; Gerke, Sara; Gilbert, Thomas K; Hagendorff, Thilo; Holm, Sune; Livne, Michelle; Spezzatti, Andy; Strümke, Inga; Zicari, Roberto V; Madai, Vince Istvan.
  • Amann J; Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
  • Vetter D; Frankfurt Big Data Lab, Goethe University Frankfurt am Main, Germany.
  • Blomberg SN; Computational Vision and Artificial Intelligence, Goethe University Frankfurt am Main, Germany.
  • Christensen HC; University of Copenhagen, Copenhagen Emergency medical Services, Denmark.
  • Coffee M; University of Copenhagen, Copenhagen Emergency medical Services, Denmark.
  • Gerke S; Department of Medicine and Division of Infectious Diseases and Immunology, NYU Grossman School of Medicine, New York, United States of America.
  • Gilbert TK; Penn State Dickinson Law, Carlisle, PA, United States of America.
  • Hagendorff T; Digital Life Initiative, Cornell Tech, New York, NY, United States of America.
  • Holm S; Cluster of Excellence "Machine Learning: New Perspectives for Science"-Ethics & Philosophy Lab University of Tuebingen, Germany.
  • Livne M; Department of Food and Resource Economics, Faculty of Science University of Copenhagen, Denmark.
  • Spezzatti A; Google Health Research, London, United Kingdom.
  • Strümke I; Industrial Engineering & Operations Research Department, University of California, Berkeley, United States of America.
  • Zicari RV; Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
  • Madai VI; Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway.
PLOS Digit Health ; 1(2): e0000016, 2022 Feb.
Article en En | MEDLINE | ID: mdl-36812545
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article