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Review
. 2024 Sep-Oct;25(9-10):564-572.
doi: 10.1111/1751-2980.13324. Epub 2024 Dec 30.

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions

Huan Jiang  1   2 , Lian Song Ye  1   2 , Xiang Lei Yuan  1   2 , Qi Luo  1   2 , Nuo Ya Zhou  1   2 , Bing Hu  1   3
Affiliations
Review

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions

Huan Jiang et al. J Dig Dis. 2024 Sep-Oct.

Abstract

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary diseases. However, it does not fully meet clinical needs, which presents challenges such as significant difficulty in operation and risks of missed diagnosis or misdiagnosis. In recent years, artificial intelligence (AI) has enhanced the diagnostic and treatment efficiency and quality of pancreaticobiliary endoscopy. Diagnosis and differential diagnosis based on endoscopic ultrasound (EUS) images, pathology of EUS-guided fine-needle aspiration or biopsy, need for endoscopic retrograde cholangiopancreatography (ERCP) and assessment of operational difficulty, postoperative complications and prediction of patient prognosis, and real-time procedure guidance. This review provides an overview of AI applications in pancreaticobiliary endoscopy and proposes future development directions in aspects such as data quality and algorithmic interpretability, aiming to provide new insights for the integration of AI technology with pancreaticobiliary endoscopy.

Keywords: artificial intelligence; deep learning; endoscopic retrograde cholangiopancreatography; endosonography; pancreaticobiliary endoscopy.

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References

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