How does artificial intelligence-aided colonoscopy help to improve adenoma detection rates?

Lim, Wei Shyann; Liew, Jacqueline Jin Li; Loh, Caitlin Yuen Ling; Teoh, Seth En; Koh, Frederick Hong-Xiang

Lim, Wei Shyann; Liew, Jacqueline Jin Li; Loh, Caitlin Yuen Ling; Teoh, Seth En; Koh, Frederick Hong-Xiang.

Afiliación

Lim WS; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Liew JJL; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Loh CYL; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Teoh SE; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Koh FH; Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, Singapore.

ANZ J Surg ; 92(12): 3130-3131, 2022 12.

Article en En | MEDLINE | ID: mdl-36468306

Asunto(s)

Adenoma; Pólipos del Colon; Neoplasias Colorrectales; Humanos; Inteligencia Artificial; Colonoscopía; Adenoma/diagnóstico; Neoplasias Colorrectales/diagnóstico; Pólipos del Colon/diagnóstico

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Adenoma / Pólipos del Colon Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: ANZ J Surg Año: 2022 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Australia

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