Comparative Evaluation of Artificial Intelligence and Endoscopists' Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-Institutional Cross-Sectional Study-Reference-Cited by-同舟云学术

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Comparative Evaluation of Artificial Intelligence and Endoscopists' Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-Institutional Cross-Sectional Study

Published:2024-04 Issue: Volume: Page:
ISSN:1438-8812
Container-title:Endoscopy
language:
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Author:

Robles-Medranda C.¹,Baquerizo-Burgos J.¹,Puga-Tejada M.¹,Raijman I.,Berzin T.,Nebel J.²,Iglesias-Garcia J.³,Kunda R.⁴,Del Valle R.¹,Alcivar-Vasquez J.¹,Mendez J. C.⁵,Chilan-Pincay A.⁵,Sanchez-Cepeda M.⁵,Lara G.¹,Oregel-Aguilar V.⁶,Boston I.,Pattni C.,Egas-Izquierdo M.¹,Cunto D.¹,Arevalo-Mora M.,Pitanga-Lukashok H.¹,Tabacelia D.

Affiliation:

1. Instituto Ecuatoriano de Enfermedades Digestivas – IECED, Guayaquil, Ecuador

2. Gastrolife, Barra Life Medical Center, Rio de Janeiro, Brazil

3. Hospital Clínico Universitario. Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain

4. Universitair Ziekenhuis Brussel (UZB), Vrije Universiteit Brussel (VUB), Brussels, Belgium

5. Mdconsgroup, Guayaquil, Ecuador

6. Hospital Civil Morelia, Morelia, Mexico

Publisher

Georg Thieme Verlag KG

Reference3 articles.

1. Development of Convolutional Neural Network Models That Recognize Normal Anatomical Structures During Real-Time Radial- and Linear-Array Endoscopic Ultrasound (with Videos);C Robles-Medranda;Gastrointest Endosc,2023

2. Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives;M Finocchiaro;Cancers (Basel),2021

3. Exploration of an effective training system for the diagnosis of pancreatobiliary diseases with EUS: A prospective study;C Han;Endosc Ultrasound,2020

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