The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …

The heterogeneous and high-dimensional nature of omics data presents various challenges
in gaining insights while analysis. In the era of big data, omics data is available as genome …

Objectives To systematically review published studies on the use of radiomics of the
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …

Objectives In resectable pancreatic ductal adenocarcinoma (PDAC), few pre-operative
prognostic biomarkers are available. Radiomics has demonstrated potential but lacks …

Patients with pancreatic ductal adenocarcinoma (PDAC) are generally classified into four
categories based on contrast-enhanced CT at diagnosis: resectable, borderline resectable …

Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally.
Medical imaging is an important auxiliary means for the diagnosis, assessment and …

Objective: To perform a scoping review of imaging-based machine-learning models to
predict clinical outcomes and identify biomarkers in patients with PDAC. Summary of …

Novel artificial intelligence techniques are emerging in all fields of healthcare, including
gastroenterology. The aim of this review is to give an overview of artificial intelligence …

Radiomics has shown remarkable potential for predicting the survival outcome for various
types of cancers such as pancreatic ductal adenocarcinoma (PDAC). However, to date …