Events

This presentation explores recent breakthroughs in artificial intelligence applications for advanced medical imaging analysis in gastroenterology. I will discuss our novel deep learning algorithms developed specifically for pancreatic and hepatic pathologies across MRI and CT modalities. The talk will highlight our computational approaches for detecting and characterizing pancreatic cancer, intraductal papillary mucinous neoplasms (IPMNs), diabetes-related pancreatic changes, and pancreatitis through innovative image segmentation and classification techniques. The presentation will evaluate how these AI-driven methods are transforming diagnostic capabilities, enhancing radiological workflows, and improving clinical decision-making in gastroenterology. Finally, I will address current limitations and future directions for AI integration into gastroenterological practice, emphasizing both technical challenges and potential clinical impact.