Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model

Background  We aimed to develop a convolutional neural network (CNN) model for detecting neoplastic lesions during real-time digital single-operator cholangioscopy (DSOC) and to clinically validate the model through comparisons with DSOC expert and nonexpert endoscopists. Methods  In this two-stage...

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Detalles Bibliográficos
Autores principales: Robles-Medranda, Carlos, Baquerizo-Burgos, Jorge, Alcivar-Vasquez, Juan, Kahaleh, Michel, Raijman, Isaac, Kunda, Rastislav, Puga-Tejada, Miguel, Egas-Izquierdo, Maria, Arevalo-Mora, Martha, Mendez, Juan C., Tyberg, Amy, Sarkar, Avik, Shahid, Haroon, del Valle-Zavala, Raquel, Rodriguez, Jorge, Merfea, Ruxandra C., Barreto-Perez, Jonathan, Saldaña-Pazmiño, Gabriela, Calle-Loffredo, Daniel, Alvarado, Haydee, Lukashok, Hannah P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374349/
https://www.ncbi.nlm.nih.gov/pubmed/36781156
http://dx.doi.org/10.1055/a-2034-3803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374349/
https://www.ncbi.nlm.nih.gov/pubmed/36781156
http://dx.doi.org/10.1055/a-2034-3803

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