Applications of artificial intelligence in pancreatic and biliary diseases.

Journal: Journal of gastroenterology and hepatology
PMID: 33624891

Abstract

The application of artificial intelligence (AI) in medicine has increased rapidly with respect to tasks including disease detection/diagnosis, risk stratification, and prognosis prediction. With recent advances in computing power and algorithms, AI has shown promise in taking advantage of vast electronic health data and imaging studies to supplement clinicians. Machine learning and deep learning are the most widely used AI methodologies for medical research and have been applied in pancreatobiliary diseases for which diagnosis and treatment selection are often complicated and require joint consideration of data from multiple sources. The aim of this review is to provide a concise introduction of the major AI methodologies and the current landscape of AI research in pancreatobiliary diseases.

Authors

  • Po-Ting Chen
    Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Dawei Chang
    Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan.
  • Tinghui Wu
    Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan.
  • Ming-Shiang Wu
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan; Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Weichung Wang
    Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan.
  • Wei-Chih Liao
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan; Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan. Electronic address: david.ntuh@gmail.com.

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