Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysis.

Parkash, Om; Siddiqui, Asra Tus Saleha; Jiwani, Uswa; Rind, Fahad; Padhani, Zahra Ali; Rizvi, Arjumand; Hoodbhoy, Zahra; Das, Jai K

Parkash, Om; Siddiqui, Asra Tus Saleha; Jiwani, Uswa; Rind, Fahad; Padhani, Zahra Ali; Rizvi, Arjumand; Hoodbhoy, Zahra; Das, Jai K.

Afiliação

Parkash O; Department of Medicine, Aga Khan University, Karachi, Pakistan.
Siddiqui ATS; Department of Medicine, Aga Khan University, Karachi, Pakistan.
Jiwani U; Center of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan.
Rind F; Head and Neck Oncology, The Ohio State University, Columbus, OH, United States.
Padhani ZA; Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan.
Rizvi A; Center of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan.
Hoodbhoy Z; Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Das JK; Institute for Global Health and Development, Aga Khan University, Karachi, Pakistan.

Front Med (Lausanne) ; 9: 1018937, 2022.

Article em En | MEDLINE | ID: mdl-36405592

Palavras-chave

artificial intelligence; diagnostic accuracy; gastroenterology; pathologies; systematic review

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Paquistão

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