The Use of Artificial Intelligence for Early Detection and Diagnosis of Colorectal Cancer: clinical review and significance

Abstract

Colorectal cancers (CRC) are one of the most prevalent and deadly cancers globally. Early detection and accurate diagnosis are crucial for improving survival rates and treatment outcomes. Research in the field of oncology and informatics have made progress over time, we reviewed pubmed indexed journals including original articles, systematic reviews and expert opinion in the last 5 years and those found on reputable journals. Notably advances in artificial intelligence, software detection tools, models and algorithms have progressed over the years, enabling screening, rapid detection, risk prediction and diagnostic accuracy and consistency. Real-time AI-assisted endoscopy can improve detection rates for most cancers. By enhancing the accuracy and efficiency of CRC screening, AI has the potential to significantly improve patient outcomes and reduce the burden of this disease, while the use of these tools have potential benefits and appear promising, challenges remain ongoing, research and development efforts are focused on overcoming barriers to clinical integration and improved clinical outcomes. Here we review advances in screening methods including invasive and non-invasive methods, limitations and future considerations. We highlight the current state and potential of AI in the early detection and diagnosis of colorectal cancer, emphasizing both the advancements and the challenges that need to be addressed for successful clinical integration.

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