Artificial Intelligence–Assisted Endoscopic Diagnosis of Early Upper Gastrointestinal Cancer: A Systematic Review and Meta-Analysis

OBJECTIVE: The aim of this study was to assess the diagnostic ability of artificial intelligence (AI) in the detection of early upper gastrointestinal cancer (EUGIC) using endoscopic images. METHODS: Databases were searched for studies on AI-assisted diagnosis of EUGIC using endoscopic images. The p...

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Detalles Bibliográficos
Autores principales: Luo, De, Kuang, Fei, Du, Juan, Zhou, Mengjia, Liu, Xiangdong, Luo, Xinchen, Tang, Yong, Li, Bo, Su, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229174/
https://www.ncbi.nlm.nih.gov/pubmed/35756602
http://dx.doi.org/10.3389/fonc.2022.855175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229174/
https://www.ncbi.nlm.nih.gov/pubmed/35756602
http://dx.doi.org/10.3389/fonc.2022.855175

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