Applications of artificial intelligence in pancreatic and biliary diseases. Issue 2 (24th February 2021)

• Record Type: Journal Article
• Authors: Chen, Po‐Ting; Chang, Dawei; Wu, Tinghui; Wu, Ming‐Shiang; Wang, Weichung; Liao, Wei‐Chih
• Other Names: Chiu Han‐Mo guestEditor.
• Is Part Of: Journal of gastroenterology and hepatology. Volume 36:Issue 2(2021)
• Page Start: 286
• Page End: 294
• Publication Date: 2021-02-24
• Subjects: Artificial intelligence -- Biliary disease -- Pancreas; Gastroenterology -- Periodicals; Digestive organs -- Diseases -- Periodicals; Liver -- Diseases -- Periodicals; Gastroenterology -- Periodicals; Liver Diseases -- Periodicals; 616.33
• DOI: 10.1111/jgh.15380
• Languages: English
• ISSNs: 0815-9319

Abstract

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.