Diagnostic Performance of Artificial Intelligence-Based Models for the Detection of Early Esophageal Cancers in Barret's Esophagus: A Meta-Analysis of Patient-Based Studies.

Bhatti, Khalid M; Khanzada, Zubair S; Kuzman, Matta; Ali, Syed M; Iftikhar, Syed Y; Small, Peter

Bhatti, Khalid M; Khanzada, Zubair S; Kuzman, Matta; Ali, Syed M; Iftikhar, Syed Y; Small, Peter.

Afiliación

Bhatti KM; Surgery, Health Education England, North West, Blackburn, GBR.
Khanzada ZS; Surgery, Health Education England, Derby, GBR.
Kuzman M; Surgery, Health Education England, North East, Newcastle Upon Tyne, GBR.
Ali SM; Acute Care Surgery, Hamad General Hospital, Doha, QAT.
Iftikhar SY; Surgery, University Hospital of Derby and Burton, Derby, GBR.
Small P; Surgery, Sunderland Royal Hospital, Sunderland, GBR.

Cureus ; 13(6): e15447, 2021 Jun.

Article en En | MEDLINE | ID: mdl-34258114

Palabras clave

artificial intelligence; barrett's esophagus; diagnostic performance; esophageal cancer; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Systematic_reviews Idioma: En Revista: Cureus Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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