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,
Journal of Clinical Medicine
Goyal, Hemant MD; Mann, Rupinder MD; Gandhi, Zainab MBBS; Perisetti, Abhilash MD; Ali, Aman MD; Ali, Khizar Amani; Sharma, Neil MD; Tharian, Benjamin MD; Saligram, Shreyas; and Inamdar, Sumant, "Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer" (2020). PCI Publications and Projects. 42.