 Radiological imaging plays a critical role in detecting and treating pancreatic cancer. However, there are many challenges associated with its use in clinical practice. The difficulty of determining whether or not cancer is present can be particularly problematic after neo-adjuvant therapy. Additionally, early detection and characterization of tumors could increase the number of patients eligible for curative treatments. Artificial intelligence, AI, based computer aided detection, CAD, has been developed to improve the accuracy of radiological detection of cancer and the assessment of the extent of disease. Despite the promise of this technology, it has yet to be widely adopted in clinical practice due to various challenges. This article reviews current radiological CAD systems used in pancreatic cancer, identifies key challenges and proposes potential solutions. This article was authored by Mark Ramikers, Christiane G. A. Viviers, Boris V. Janssen, and others. We are article.tv, links in the description below.