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Original Articles

Using deep learning and explainable artificial intelligence to assess the severity of gastroesophageal reflux disease according to the Los Angeles Classification System

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Pages 596-604 | Received 13 Nov 2022, Accepted 23 Dec 2022, Published online: 09 Jan 2023

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Zhenyang Ge, Youjiang Fang, Jiuyang Chang, Zequn Yu, Yu Qiao, Jing Zhang, Xin Yang & Zhijun Duan. (2023) Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system. Annals of Medicine 55:2.
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Bright Huo, Elisa Calabrese, Patricia Sylla, Sunjay Kumar, Romeo C. Ignacio, Rodolfo Oviedo, Imran Hassan, Bethany J. Slater, Andreas Kaiser, Danielle S. Walsh & Wesley Vosburg. (2024) The performance of artificial intelligence large language model-linked chatbots in surgical decision-making for gastroesophageal reflux disease. Surgical Endoscopy.
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Henriette S. Heinrich & Peter Bauerfeind. (2023) Die Rolle der artifiziellen Intelligenz in der Gastroenterologie – Already changing the game!Rôle de l’intelligence artificielle dans la gastroentérologie – Already changing the game !Il ruolo dell’intelligenza artificiale nella gastroenterologia - Already changing the game!. Schweizer Gastroenterologie 4:4, pages 147-152.
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Yunus Doğan & Serhat Bor. (2023) Computer-Based Intelligent Solutions for the Diagnosis of Gastroesophageal Reflux Disease Phenotypes and Chicago Classification 3.0. Healthcare 11:12, pages 1790.
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