The applications of artificial intelligence (AI), including machine learning and deep learning,
in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the …

Excitement has been steadily growing over the promise of artificial intelligence (AI) for
radiology. Deep learning, a form of AI, uses training data and multiple layers of equations to …

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …

Artificial intelligence (AI) has experienced substantial progress over the last ten years in
many fields of application, including healthcare. In hepatology and pancreatology, major …

Computed tomography is the most commonly used imaging modality to detect and stage
pancreatic cancer. Previous advances in pancreatic cancer imaging have focused on …

Purpose To identify distinguishing CT radiomic features of pancreatic ductal
adenocarcinoma (PDAC) and to investigate whether radiomic analysis with machine …

Pancreatic ductal adenocarcinoma (PDAC) represents a challenge for a multidisciplinary
oncology team. Diagnosis of PDAC remains challenging due to overlapping imaging …

Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …

Deep learning and radiomics with medical imaging have demonstrated strong potential to
improve diagnostic accuracy of pancreatic cancer, facilitate personalized treatment …