Application of artificial intelligence in pancreaticobiliary diseases

Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Zhongheng Zhang, Neil Sharma, Shreyas Saligram, Sumant Inamdar, Benjamin Tharian

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

The role of artificial intelligence and its applications has been increasing at a rapid pace in the field of gastroenterology. The application of artificial intelligence in gastroenterology ranges from colon cancer screening and characterization of dysplastic and neoplastic polyps to the endoscopic ultrasonographic evaluation of pancreatic diseases. Artificial intelligence has been found to be useful in the evaluation and enhancement of the quality measure for endoscopic retrograde cholangiopancreatography. Similarly, artificial intelligence techniques like artificial neural networks and faster region-based convolution network are showing promising results in early and accurate diagnosis of pancreatic cancer and its differentiation from chronic pancreatitis. Other artificial intelligence techniques like radiomics-based computer-aided diagnosis systems could help to differentiate between various types of cystic pancreatic lesions. Artificial intelligence and computer-aided systems also showing promising results in the diagnosis of cholangiocarcinoma and the prediction of choledocholithiasis. In this review, we discuss the role of artificial intelligence in establishing diagnosis, prognosis, predicting response to treatment, and guiding therapeutics in the pancreaticobiliary system.

Original languageEnglish (US)
JournalTherapeutic Advances in Gastrointestinal Endoscopy
Volume14
DOIs
StatePublished - 2021

Keywords

  • artificial intelligence
  • choledocholithiasis
  • computer-aided diagnosis
  • endoscopic ultrasound
  • pancreatic cancer

ASJC Scopus subject areas

  • Gastroenterology

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