BACKGROUND: Concomitant changes of chronic pancreatitis markedly degrade the
performance of EUS in diagnosing pancreatic adenocarcinoma (PC). Digital image analysis …

BACKGROUND:: EUS can detect morphologic abnormalities of pancreatic cancer with high
sensitivity but with limited specificity. OBJECTIVE:: To develop a classification model for …

Background: The differentiation of focal pancreatitis and pancreatic adenocarcinoma is
problematic and often resolved only by pancreaticoduodenectomy. EUS is the most …

Background Differentiating pancreatic cancer (PC) from normal tissue by computer-aided
diagnosis of EUS images were quite useful. The current study was designed to investigate …

EUS-guided tissue acquisition carries certain risks from unnecessary needle puncture in the
low-likelihood lesions. Artificial intelligence (AI) system may enable us to resolve these …

Background and Aims Computer-aided diagnosis of EUS images was quite useful in
differentiating pancreatic cancer from normal tissue and chronic pancreatitis. This study …

BACKGROUND: Diagnosis of pancreatic neoplasm is challenging in patients with
inconclusive findings on pancreatic multidetector row CT (MDCT). OBJECTIVE: To …

Abstract Background/Purpose The application of artificial intelligence to clinical diagnostics
using deep learning has been developed in recent years. In this study, we developed an …

Background: Pancreatic cancer (PC) is a highly fatal malignancy with a global overall 5-year
survival of under 10%. Screening of PC is not recommended outside of clinical trials …

Results: Sensitivity and specificity for MDCT were 89% and 70% and for CEHMI-EUS were
96% and 91%, respectively. Sensitivities and specificities for EUS were 92% and 63% for B …