Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes,
indicating a pronounced need for early detection. In this study, we applied artificial …

Aim Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed at a late, incurable stage.
We sought to determine whether individuals at high risk of developing PDAC could be …

Early detection of pancreatic cancer is challenging because cancer-specific symptoms occur
only at an advanced stage, and a reliable screening tool to identify high-risk patients is …

Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …

Contemporary analyses focused on a limited number of clinical and molecular biomarkers
have been unable to accurately predict clinical outcomes in pancreatic ductal …

As the most aggressive tumor, the outcome of pancreatic cancer (PACA) has not improved
observably over the last decade. Anatomy-based TNM staging does not exactly identify …

Objective: To emphasize the importance of pancreatic imaging and the application of
Artificial Intelligence (AI) for enhanced risk prediction of pancreatic ductal adenocarcinoma …

Background Pancreatic adenocarcinoma patients have low survival rates due to late-stage
diagnosis and high rates of cancer recurrence even after surgical resection. It is important to …

Pancreatic cancer is one of the deadliest forms of cancer, often diagnosed at advanced
stages with limited treatment options. Early detection is critical for improving patient …

In this paper, we propose a novel method that combines PubMed knowledge and Electronic
Health Records to develop a weighted Bayesian Network Inference (BNI) model for …