Image-based artificial intelligence for preoperative differentiation of pancreatic cancer from pancreatitis: a systematic review and meta-analysis.

ABSTRACT:

Background

Pancreatic cancer (PC) and pancreatitis-encompassing acute, chronic, autoimmune, and other inflammatory pancreatic conditions-often exhibit overlapping clinical and imaging features, yet require fundamentally different therapeutic strategies. This similarity frequently leads to diagnostic uncertainty in routine clinical practice. Image-based artificial intelligence (AI) has emerged as a promising tool to enhance diagnostic accuracy. This meta-analysis systematically evaluates the diagnostic performance of AI algorithms in differentiating PC from pancreatitis.

Methods

A systematic literature search of PubMed, Embase, and Cochrane Library databases was conducted for studies published through June 30 2025. Eligible studies reporting AI diagnostic performance metrics

SUBMITTER: Lu J 

PROVIDER: S-EPMC12832336 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature