Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta‐analysis

OBJECTIVE: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of these models. METHODS: A literature search was con...

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Detalles Bibliográficos
Autores principales: Zhang, Si Min, Wang, Yong Jun, Zhang, Shu Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2021
Materias:
Meta Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361665/
https://www.ncbi.nlm.nih.gov/pubmed/33871932
http://dx.doi.org/10.1111/1751-2980.12992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361665/
https://www.ncbi.nlm.nih.gov/pubmed/33871932
http://dx.doi.org/10.1111/1751-2980.12992

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