|Title:||Applications of artificial intelligence in pancreatic and biliary diseases||Authors:||Chen, Po Ting
|Keywords:||Artificial intelligence | Biliary disease | Pancreas;Artificial intelligence; Biliary disease; Pancreas||Issue Date:||1-Feb-2021||Journal Volume:||36||Journal Issue:||2||Source:||Journal of Gastroenterology and Hepatology (Australia)||Abstract:||
© 2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd 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.
|Appears in Collections:||醫學院附設醫院 (臺大醫院)|
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