Abstract

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods have shown promising results for colorectal cancer screening. AI could provide a “second look” for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy, various advanced endoscopic modalities like magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. In this review, we have discussed various AI and CAD applications in CRC screening, polyp detection, and characterization,

Document Type

Article

Publication Date

8-2020

Publication Title

Journal of Clinical Medicine

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