Applications of artificial intelligence in pancreatic and biliary diseases

被引：12

作者：

Chen, Po-Ting ^{[1
]}

Chang, Dawei ^{[2
]}

Wu, Tinghui ^{[2
]}

Wu, Ming-Shiang ^{[3
,4
]}

Wang, Weichung ^{[2
]}

Liao, Wei-Chih ^{[3
,4
]}

机构：

[1] Natl Taiwan Univ, Natl Taiwan Univ Hosp, Coll Med, Dept Med Imaging, Taipei, Taiwan

[2] Natl Taiwan Univ, Inst Appl Math Sci, Taipei, Taiwan

[3] Natl Taiwan Univ, Natl Taiwan Univ Hosp, Coll Med, Div Gastroenterol & Hepatol,Dept Internal Med, Taipei, Taiwan

[4] Natl Taiwan Univ, Coll Med, Internal Med, Taipei, Taiwan

来源：

JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY | 2021年 / 36卷 / 02期

关键词：

Artificial intelligence; Biliary disease; Pancreas; DUCTAL ADENOCARCINOMA; TEXTURE ANALYSIS; EARLY RECURRENCE; PREDICTION; RADIOMICS; CHOLANGIOCARCINOMA; FEATURES;

D O I：

10.1111/jgh.15380

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

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.

引用

页码：286 / 294

页数：9

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