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Artificial Intelligence (AI) and image processing are revolutionizing the diagnosis and management of liver and colorectal cancer. Recent advancements showcase AI's ability to analyze medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying colorectal and liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalized treatment planning. Image processing techniques enhance data analysis by precisely segmenting colorectal and liver structures, a fusion of information from multiple modalities, and feature extraction for informed decision-making. Despite progress, challenges persist, including standardized datasets and regulatory considerations. CO-AUTHORS: 1. Asst Professor Petraq Mustaqe, University of Vlora ""Ismail Qemali"", Albania 2. Dr. Levan Tchabashvili, Department of Surgery, General Hospital of Aigio, Greece 3. Dr. Konstantinos Tasios, Department of Surgery, General Hospital of Preveza, Greece 4. Dr. Georgios Theofanis, Department of Surgery, University Hospital of Patras, Greece 5. Dr. Panagiotis Antzoulas, Department of Orthopedics, University Hospital of Patras, Greece 6. Mrs. Vasiliki Garantzioti, Department of Surgery, University Hospital of Patras, Greece 7. Mr. Dimitrios Litsas, Department of Surgery, General Hospital of Lamia, Greece 8. Mr. Vasileios Spyropoulos, Department of Surgery, University Hospital of Patras, Greece 9. Mrs. Nefeli Chaniotaki, Department of Interventional Radiology, University Hospital of Patras, Greece 10. Dr. Nina Miteva, General Hospital of Didymoteicho, Evros, Greece 11. Dr. Francesk Mulita, Department of Surgery, General Hospital of Aigio, Greece
