Deep Learning Applications in Pancreatic Cancer

Simple Summary The application of artificial intelligence (AI) in healthcare is expanding rapidly and is everchanging. This review focuses on the application of AI, specifically Deep Learning (DL), in the diagnosis, management, and monitoring of patients diagnosed with pancreatic cancer (PC), one of the most lethal gastrointestinal malignancies. A comprehensive review of DL modalities and applications through the difference stages in management of PC patients is discussed. From diagnostic and prognostic imaging, to postoperative care and utilization of AI to develop novel biomarkers. An emphasis is placed on reviewing the breadth of applications and methodologies that are revolutionizing the care of pancreatic cancer patients. Abstract Pancreatic cancer is one of the most lethal gastrointestinal malignancies. Despite advances in cross-sectional imaging, chemotherapy, radiation therapy, and surgical techniques, the 5-year overall survival is only 12%. With the advent and rapid adoption of AI across all industries, we present a review of applications of DL in the care of patients diagnosed with PC. A review of different DL techniques with applications across diagnosis, management, and monitoring is presented across the different pathological subtypes of pancreatic cancer. This systematic review highlights AI as an emerging technology in the care of patients with pancreatic cancer.