Background There are several types of pancreatic mass, so it is important to distinguish
between them before treatment. Artificial intelligence (AI) is a mathematical technique that …

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

Results: A total of 100 pancreatic FNAs were obtained by EUS. Most positive diagnoses of
malignancy were pancreatic adenocarcinomas (n= 61). The site of pancreatic …

Background and Aims EUS-guided FNA (EUS-FNA) is the primary method used to obtain
pancreatic tissue for preoperative diagnosis. Accumulating evidence suggests diagnostic …

Differential diagnosis of focal pancreatic masses is based on endoscopic ultrasound (EUS)
guided fine needle aspiration biopsy (EUS-FNA/FNB). Several imaging techniques (ie gray …

Early diagnosis and appropri-ate staging of pancreatic adenocarcinoma is of vital
importance to possibly detect this otherwise lethal disease at a curable phase and to stratify …

We performed a meta-analysis of published data to investigate the diagnostic value of
artificial intelligence for pancreatic cancer. Systematic research was conducted in the …

In this paper, we propose a bimodal method based on feature fusion in the neural network,
including the endoscopic ultrasonography images and clinical data, for segmentation of …

Most patients with pancreatic cancer present with a mass on radiologic studies, however, not
every pancreatic mass is cancer. Since radiological studies alone are insufficient to …

Background and Aims EUS is considered one of the most sensitive modalities for pancreatic
cancer detection, but it is highly operator-dependent and the learning curve is steep. In this …