For: | Simsek C, Lee LS. Machine learning in endoscopic ultrasonography and the pancreas: The new frontier? Artif Intell Gastroenterol 2022; 3(2): 54-65 [DOI: 10.35712/aig.v3.i2.54] |
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URL: | https://www.wjgnet.com/2644-3236/full/v3/i2/54.htm |
Number | Citing Articles |
1 |
Belén Agudo Castillo, Miguel Mascarenhas, Miguel Martins, Francisco Mendes, Daniel de la Iglesia, Antonio Miguel Martins Pinto da Costa, Carlos Esteban Fernández-Zarza, Mariano González-Haba Ruiz. ADVANCEMENTS IN BILIOPANCREATIC ENDOSCOPY: A COMPREHENSIVE REVIEW OF ARTIFICIAL INTELLIGENCE IN EUS AND ERCP. . Revista Española de Enfermedades Digestivas 2024; doi: 10.17235/reed.2024.10456/2024
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2 |
Kareem Khalaf, Maria Terrin, Manol Jovani, Tommy Rizkala, Marco Spadaccini, Katarzyna M. Pawlak, Matteo Colombo, Marta Andreozzi, Alessandro Fugazza, Antonio Facciorusso, Fabio Grizzi, Cesare Hassan, Alessandro Repici, Silvia Carrara. A Comprehensive Guide to Artificial Intelligence in Endoscopic Ultrasound. Journal of Clinical Medicine 2023; 12(11): 3757 doi: 10.3390/jcm12113757
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3 |
Fatemeh Rousta, Ali Esteki, Ahmad shalbaf, Amir Sadeghi, Pardis Ketabi Moghadam, Ardalan Voshagh. Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review. Computer Methods and Programs in Biomedicine 2024; 250: 108205 doi: 10.1016/j.cmpb.2024.108205
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