Scope of artificial intelligence in screening and diagnosis of colorectal cancer

Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar

Research output: Contribution to journalReview articlepeer-review

35 Scopus citations


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 has shown promising colorectal cancer screening results. 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 and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.

Original languageEnglish (US)
Article number3313
Pages (from-to)1-22
Number of pages22
JournalJournal of Clinical Medicine
Issue number10
StatePublished - Oct 2020


  • Artificial intelligence
  • Colon cancer
  • Colonoscopy
  • Colorectal cancer
  • Computer-aided diagnosis
  • Polyp
  • Screening

ASJC Scopus subject areas

  • General Medicine


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