Artificial Intelligence Applications in Pancreatic Cancer Imaging

Taha M. Ahmed MBBS, Felipe Lopez-Ramirez MD, Elliot K. Fishman MD, Linda Chu MD

Key Points

• Artificial intelligence has the potential to serve as a “second-reader” to improve pancreatic cancer detection from diagnostic computed tomographic (CT) scans. It can also identify subtle tissue changes on prediagnostic CT scans and lead to earlier disease diagnosis.
• Artificial intelligence can differentiate pancreatic solid tumors, pancreatic cystic tumors, and tumor grade from CT or MRI with high diagnostic performance.
• Artificial intelligence based on images and serum biomarkers may play an increasingly important role in predicting prognosis and treatment response for patients with pancreatic cancer.