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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...
Autores principales: | Luo, De, Kuang, Fei, Du, Juan, Zhou, Mengjia, Liu, Xiangdong, Luo, Xinchen, Tang, Yong, Li, Bo, Su, Song |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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