Application of AI Deep Learning in Colorectal Cancer

Colorectal cancer (CRC) is one of the most prevalent malignant tumours worldwide, primarily developing on the inner wall of the rectum [1, 2]. Its incidence is closely associated with dietary habits, genetic factors and environmental influences [3]. While early-stage CRC may be asymptomatic, disease progression often leads to abdominal pain, haematochezia, weight loss and fatigue [4]. Consequently, accurate and early diagnosis of CRC is crucial for improving patient survival rates and quality of life.This study aims to comprehensively evaluate and compare different diagnostic methods for colorectal cancer, with a particular focus on the emerging field of AI-enhanced MRI techniques. We hypothesise that the combination of MRI and AI technologies will demonstrate superior diagnostic accuracy and efficiency compared to traditional methods, potentially revolutionising the approach to CRC diagnosis.