A major goal is to assess how AI can assist in the follow-up and monitoring of patients with pancreatic cysts or precursors to cancer, potentially improving surveillance and assessments.

The team aims to broaden the integration of AI into clinical workflows for detecting and monitoring pancreatic cancer.

The study was funded by the European Union and reports no conflicts of interest.

The work is a collaboration among Radboud University Medical Center, Karolinska Institutet, and the University of Bergen, with involvement from major international partners including Cleveland Clinic, Mayo Clinic, Johns Hopkins University, and others.

An international study in The Lancet Oncology shows that AI can detect pancreatic cancer on CT scans more accurately than experienced radiologists.

The publication details the PANORAMA study—Artificial intelligence and radiologists in pancreatic cancer detection using standard-of-care CT scans—online in The Lancet Oncology, with online first on November 20, 2025.

Researchers plan prospective studies to test the AI system in clinical practice, emphasizing careful and cautious implementation.

Dawid Rutkowski, a PhD student at CLINTEC, notes that AI can be a valuable support tool for radiologists in identifying pancreatic cancer on imaging.