Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence

被引：0

作者：

Zhang, You-Han ^{[1
]}

Fang, Ai-Qiao ^{[1
]}

Zhu, Hui-Yun ^{[1
]}

Du, Yi-Qi ^{[1
]}

机构：

[1] Second Mil Med Univ, Naval Med Univ, Changhai Hosp, Dept Gastroenterol, 168 Changhai Rd, Shanghai 200433, Peoples R China

来源：

WORLD JOURNAL OF GASTROENTEROLOGY | 2025年 / 31卷 / 12期

关键词：

Artificial intelligence; Autoimmune pancreatitis; Diagnosis; Machine learning; Deep learning; INSIGHTS; THERAPY; EUS;

D O I：

10.3748/wjg.v31.i12.102950

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires combining multiple dimensions. There is a need to explore new methods for diagnosing AIP. The development of artificial intelligence (AI) is evident, and it is believed to have potential in the clinical diagnosis of AIP. This article aims to list the current diagnostic difficulties of AIP, describe existing AI applications, and suggest directions for future AI usages in AIP diagnosis.

引用

页数：6

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