Deep Learning Applications in Pancreatic Cancer
Hardik J. Patel, Theodoros P. Zanos, D. Brock Hewitt
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.
Topics & Concepts
Pancreatic cancerMedicineRadiation therapyCancerGastrointestinal cancerPathologicalIntensive care medicinePancreasOncologyInternal medicineGeneral surgeryRadiologyColorectal cancerPancreatic and Hepatic Oncology ResearchAI in cancer detectionRadiomics and Machine Learning in Medical Imaging