Addressing Artificial Intelligence Bias in Retinal Diagnostics.

Burlina, Philippe; Joshi, Neil; Paul, William; Pacheco, Katia D; Bressler, Neil M

Burlina, Philippe; Joshi, Neil; Paul, William; Pacheco, Katia D; Bressler, Neil M.

Afiliação

Burlina P; Applied Physics Laboratory, The Johns Hopkins University, Baltimore, MD, USA.
Joshi N; Retina Division, Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Paul W; Malone Center for Engineering in Healthcare and Dept. of Computer Science, The Johns Hopkins University, Baltimore, MD, USA.
Pacheco KD; Applied Physics Laboratory, The Johns Hopkins University, Baltimore, MD, USA.
Bressler NM; Applied Physics Laboratory, The Johns Hopkins University, Baltimore, MD, USA.

Transl Vis Sci Technol ; 10(2): 13, 2021 02 05.

Article em En | MEDLINE | ID: mdl-34003898

Assuntos

Inteligência Artificial; Retinopatia Diabética; Retinopatia Diabética/diagnóstico; Fundo de Olho; Humanos; Programas de Rastreamento; Retina

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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