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AI pitfalls and what not to do: mitigating bias in AI.
Gichoya, Judy Wawira; Thomas, Kaesha; Celi, Leo Anthony; Safdar, Nabile; Banerjee, Imon; Banja, John D; Seyyed-Kalantari, Laleh; Trivedi, Hari; Purkayastha, Saptarshi.
Afiliação
  • Gichoya JW; Department of Radiology, Emory University, Atlanta, United States.
  • Thomas K; Department of Radiology, Emory University, Atlanta, United States.
  • Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
  • Safdar N; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States.
  • Banerjee I; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
  • Banja JD; Department of Radiology, Emory University, Atlanta, United States.
  • Seyyed-Kalantari L; School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, United States.
  • Trivedi H; Emory University Center for Ethics, Emory University, Atlanta, United States.
  • Purkayastha S; Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, North York, United States.
Br J Radiol ; 96(1150): 20230023, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37698583
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article