Artificial intelligence implementation in pancreaticobiliary endoscopy.

Journal: Expert review of gastroenterology & hepatology
PMID: 35639864

Abstract

INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms into real-time endoscopy, particularly colonoscopy. However, artificial intelligence implementation in pancreaticobiliary endoscopy is nascent.

Authors

  • Daniel J Low
    Department of Gastroenterology Hepatology and Nutrition, Division of Internal Medicine, MD Anderson Cancer Center, Houston, TX, USA.
  • Zhuoqiao Hong
    System Design & Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Jeffrey H Lee
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

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