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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of clinical medicine 2020-10, Vol.9 (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: Article
Language:English
Subjects:
Artificial intelligence
Clinical medicine
Colorectal cancer
Datasets
Mortality
Neural networks
Polyps
Review
Tumors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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.
ISSN:2077-0383
2077-0383
DOI:10.3390/jcm9103313