Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions

Michelle Viscaino, Javier Torres Bustos, Pablo Muñoz, Cecilia Auat Cheein, Fernando Auat Cheein*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

21 Citations (Scopus)
35 Downloads (Pure)

Abstract

Colorectal cancer (CRC) was the second-ranked worldwide type of cancer during 2020 due to the crude mortality rate of 12.0 per 100000 inhabitants. It can be prevented if glandular tissue (adenomatous polyps) is detected early. Colonoscopy has been strongly recommended as a screening test for both early cancer and adenomatous polyps. However, it has some limitations that include the high polyp miss rate for smaller (< 10 mm) or flat polyps, which are easily missed during visual inspection. Due to the rapid advancement of technology, artificial intelligence (AI) has been a thriving area in different fields, including medicine. Particularly, in gastroenterology AI software has been included in computer-aided systems for diagnosis and to improve the assertiveness of automatic polyp detection and its classification as a preventive method for CRC. This article provides an overview of recent research focusing on AI tools and their applications in the early detection of CRC and adenomatous polyps, as well as an insightful analysis of the main advantages and misconceptions in the field.

Original languageEnglish
Pages (from-to)6399-6414
Number of pages16
JournalWorld Journal of Gastroenterology
Volume27
Issue number38
DOIs
Publication statusPublished - 14 Oct 2021

Keywords

  • Artificial intelligence
  • Colorectal cancer
  • Colorectal polyps
  • Deep learning
  • Machine learning
  • Medical images

ASJC Scopus subject areas

  • Gastroenterology

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