Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers

BACKGROUND/AIMS: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-...

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Detalles Bibliográficos
Autores principales: Lu, Yi, Wu, Jiachuan, Hu, Minhui, Zhong, Qinghua, Er, Limian, Shi, Huihui, Cheng, Weihui, Chen, Ke, Liu, Yuan, Qiu, Bingfeng, Xu, Qiancheng, Lai, Guangshun, Wang, Yufeng, Luo, Yuxuan, Mu, Jinbao, Zhang, Wenjie, Zhi, Min, Sun, Jiachen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of Gut and Liver 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651383/
https://www.ncbi.nlm.nih.gov/pubmed/36700302
http://dx.doi.org/10.5009/gnl220347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651383/
https://www.ncbi.nlm.nih.gov/pubmed/36700302
http://dx.doi.org/10.5009/gnl220347

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