Journal of Digestive Cancer Research 2024;12(1):31-37

doi:10.52927/jdcr.2024.12.1.31

Application of Endoscopic Ultrasound-based Artificial Intelligence in Diagnosis of Pancreatic Malignancies

Jae Hee AHN 1 ; Hwehoon CHUNG ; Jae Keun PARK

Affiliations

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Country

Republic of Korea

Language

English

Abstract

Pancreatic cancer is a highly fatal malignancy with a 5-year survival rate of < 10%. Endoscopic ultrasound (EUS) is a useful noninvasive tool for differential diagnosis of pancreatic malignancy and treatment decision-making. However, the performance of EUS is suboptimal, and its accuracy for differentiating pancreatic malignancy has increased interest in the application of artificial intelligence (AI). Recent studies have reported that EUS-based AI models can facilitate early and more accurate diagnosis than other preexisting methods. This article provides a review of the literature on EUS-based AI studies of pancreatic malignancies.