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Measuring fairness preferences is important for artificial intelligence in health care.
Näher, Anatol-Fiete; Krumpal, Ivar; Antão, Esther-Maria; Ong, Erika; Rojo, Marina; Kaggwa, Fred; Balzer, Felix; Celi, Leo Anthony; Braune, Katarina; Wieler, Lothar H; Agha-Mir-Salim, Louis.
Affiliation
  • Näher AF; Digital Global Public Health, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam 14482, Germany; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany. Electronic address: anatolfiete.naeher@hpi.de.
  • Krumpal I; Faculty of Social Science and Philosophy, University of Leipzig, Leipzig, Germany.
  • Antão EM; Digital Global Public Health, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam 14482, Germany.
  • Ong E; College of Medicine, University of the Philippines, Manila, Philippines.
  • Rojo M; Department of Public Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina.
  • Kaggwa F; Department of Computer Science, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.
  • Balzer F; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA.
  • Braune K; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Wieler LH; Digital Global Public Health, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam 14482, Germany.
  • Agha-Mir-Salim L; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Lancet Digit Health ; 6(5): e302-e304, 2024 May.
Article in En | MEDLINE | ID: mdl-38670737
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Limits: Humans Language: En Journal: Lancet Digit Health Year: 2024 Document type: Article Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Limits: Humans Language: En Journal: Lancet Digit Health Year: 2024 Document type: Article Country of publication: United kingdom