Application of Endoscopic Ultrasound-based Artificial Intelligence in Diagnosis of Pancreatic Malignancies
10.52927/jdcr.2024.12.1.31
- Author:
Jae Hee AHN
1
;
Hwehoon CHUNG
;
Jae Keun PARK
Author Information
1. Department of Gastroenterology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
- Publication Type:REVIEW ARTICLE
- From:
Journal of Digestive Cancer Research
2024;12(1):31-37
- CountryRepublic 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.
