Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer

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 pr...

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Bibliographic Details
Published inJournal of clinical medicine Vol. 9; no. 10; p. 3313
Main Authors Goyal, Hemant, Mann, Rupinder, Gandhi, Zainab, Perisetti, Abhilash, Ali, Aman, Aman Ali, Khizar, Sharma, Neil, Saligram, Shreyas, Tharian, Benjamin, Inamdar, Sumant
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 15.10.2020
MDPI
Subjects
Artificial intelligence
Clinical medicine
colon cancer
colonoscopy
Colorectal cancer
Datasets
Mortality
Neural networks
polyp
Polyps
Review
screening
Tumors
United Kingdom > UK
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Summary: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.
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ISSN:2077-0383
2077-0383
DOI:10.3390/jcm9103313