Sa1470 RISK ESTIMATION, MACHINE LEARNING BASED ERCP DECISION-MAKING TOOL FOR SUSPECTED CHOLEDOCHOLITHIASIS-Reference-Cited by-同舟云学术

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Sa1470 RISK ESTIMATION, MACHINE LEARNING BASED ERCP DECISION-MAKING TOOL FOR SUSPECTED CHOLEDOCHOLITHIASIS

Published:2019-06 Issue:6 Volume:89 Page:AB246-AB247
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Akshintala Venkata S.,Tang Bohao,Kamal Ayesha,Buxbaum James L.,Elmunzer B. Joseph,Wani Sachin B.,Yu Chung Yao,Tieu Alan H.,Kalloo Anthony N.,Singh Vikesh,Caffo Brian,Khashab Mouen A.

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-Invasive Prediction of Choledocholithiasis Using 1D Convolutional Neural Networks and Clinical Data;Diagnostics;2024-06-17

2. Using artificial intelligence to predict choledocholithiasis: can machine learning models abate the use of MRCP in patients with biliary dysfunction?;ANZ Journal of Surgery;2024-03-25

3. Prevention and Management of Complications of Biliary Endoscopy;Gastrointestinal Endoscopy Clinics of North America;2022-07

4. Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction;Artificial Intelligence in Gastroenterology;2022-06-28

5. Artificial intelligence in pancreaticobiliary endoscopy;Journal of Gastroenterology and Hepatology;2021-01

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