J Dig Cancer Res.  2024 Apr;12(1):31-37. 10.52927/jdcr.2024.12.1.31.

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

• Ahn JH
• Chung H
• Park JK

• KMID: 2555635
• DOI: http://doi.org/10.52927/jdcr.2024.12.1.31

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.

Keyword

Artificial intelligence (AI); Endoscopic ultrasound (EUS); Pancreatic neoplasms