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Artificial intelligence for colon polyp detection: Why should we embrace this?

Publication ,  Journal Article
Zachariah, R; Ninh, A; Karnes, W
Published in: Techniques and Innovations in Gastrointestinal Endoscopy
April 1, 2020

Optimal success of colonoscopy for prevention of colorectal cancer is currently measured by adenoma detection rate (ADR), which reflects a colonoscopists ability to identify colorectal and remove precancerous polyps. Among colonoscopists in the same health care system and shared patient population, ADR varies from 7% to 53%. For every 1% increase in ADR, risk of interval colorectal cancer is reduced by 3%-6%. Beyond attaining excellent exposure of entire mucosal surface during colonoscopy, ADR can be improved with a second observer. Computer-aided detection (“facial recognition” for polyps) has potential to improve ADR as a second observer. Several groups are working to bring this technology into the endoscopy unit. Success will require real-time implementation of an affordable system with very high accuracy and proven benefit to improve ADR and reduce miss rate of precancerous lesions. In just the past year, computer-aided detection systems that run live during colonoscopy have been shown to improve ADR using affordable off-the-shelf computers.

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Published In

Techniques and Innovations in Gastrointestinal Endoscopy

DOI

EISSN

2590-0307

ISSN

2666-5107

Publication Date

April 1, 2020

Volume

22

Issue

2

Start / End Page

48 / 51

Related Subject Headings

  • 4206 Public health
  • 3202 Clinical sciences
 

Citation

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Zachariah, R., Ninh, A., & Karnes, W. (2020). Artificial intelligence for colon polyp detection: Why should we embrace this? Techniques and Innovations in Gastrointestinal Endoscopy, 22(2), 48–51. https://doi.org/10.1016/j.tgie.2019.150631
Zachariah, R., A. Ninh, and W. Karnes. “Artificial intelligence for colon polyp detection: Why should we embrace this?Techniques and Innovations in Gastrointestinal Endoscopy 22, no. 2 (April 1, 2020): 48–51. https://doi.org/10.1016/j.tgie.2019.150631.
Zachariah R, Ninh A, Karnes W. Artificial intelligence for colon polyp detection: Why should we embrace this? Techniques and Innovations in Gastrointestinal Endoscopy. 2020 Apr 1;22(2):48–51.
Zachariah, R., et al. “Artificial intelligence for colon polyp detection: Why should we embrace this?Techniques and Innovations in Gastrointestinal Endoscopy, vol. 22, no. 2, Apr. 2020, pp. 48–51. Scopus, doi:10.1016/j.tgie.2019.150631.
Zachariah R, Ninh A, Karnes W. Artificial intelligence for colon polyp detection: Why should we embrace this? Techniques and Innovations in Gastrointestinal Endoscopy. 2020 Apr 1;22(2):48–51.

Published In

Techniques and Innovations in Gastrointestinal Endoscopy

DOI

EISSN

2590-0307

ISSN

2666-5107

Publication Date

April 1, 2020

Volume

22

Issue

2

Start / End Page

48 / 51

Related Subject Headings

  • 4206 Public health
  • 3202 Clinical sciences