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A translational perspective towards clinical AI fairness.
Liu, Mingxuan; Ning, Yilin; Teixayavong, Salinelat; Mertens, Mayli; Xu, Jie; Ting, Daniel Shu Wei; Cheng, Lionel Tim-Ee; Ong, Jasmine Chiat Ling; Teo, Zhen Ling; Tan, Ting Fang; RaviChandran, Narrendar; Wang, Fei; Celi, Leo Anthony; Ong, Marcus Eng Hock; Liu, Nan.
Afiliação
  • Liu M; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Ning Y; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Teixayavong S; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Mertens M; Centre for Ethics, Department of Philosophy, University of Antwerp, Antwerp, Belgium.
  • Xu J; Antwerp Center on Responsible AI, University of Antwerp, Antwerp, Belgium.
  • Ting DSW; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
  • Cheng LT; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
  • Ong JCL; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Teo ZL; SingHealth AI Office, Singapore Health Services, Singapore, Singapore.
  • Tan TF; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • RaviChandran N; Department of Pharmacy, Singapore General Hospital, Singapore, Singapore.
  • Wang F; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Celi LA; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Ong MEH; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Liu N; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
NPJ Digit Med ; 6(1): 172, 2023 Sep 14.
Article em En | MEDLINE | ID: mdl-37709945
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article