Download PDF
CC BY-NC-ND 4.0 · Endosc Int Open 2020; 08(10): E1387-E1388
DOI: 10.1055/a-1214-5937
Editorial

AI in endoscopy: is the computer innocent in case of missed cancer?

Cesare Hassan
1   Endoscopy Unit, Nuovo Regina Margherita Hospital, Rome, Italy
,
Giulio Antonelli
1   Endoscopy Unit, Nuovo Regina Margherita Hospital, Rome, Italy
,
Mario Dinis-Ribeiro
2   CIDES/CINTESIS, Faculty of Medicine, University of Porto, Porto, Portugal
› Author Affiliations
› Further Information
Also available at
   Permissions and Reprints

Referred to by:

Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologistsEndosc Int Open 2020; 08(10): E1379-E1384
DOI: 10.1055/a-1223-1926

While doing a screening colonoscopy, the possibility of missing a lesion crosses our minds from time to time, especially after a negative procedure in which we failed to detect even a sub-centimeter adenoma. We then disregard this strange idea as a bad nightmare, while continuing our screening procedures. Don’t we deceive ourselves pretending that interval colorectal cancer (CRC) is not an issue, or if it is an issue, consider that the responsibility for it falls to other endoscopists who are much less skillful than us?



Publication History

Article published online:
22 September 2020

© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 2014; 370: 1298-1306
    CrossrefPubMedGoogle Scholar
  • 2 Rutter MD, Beintaris I, Valori R. et al. World Endoscopy Organization Consensus Statements on Post-Colonoscopy and Post-Imaging Colorectal Cancer. Gastroenterology 2018; 155: 909-925.e3
    CrossrefPubMedGoogle Scholar
  • 3 Zhao S, Wang S, Pan P. et al. Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: a systematic review and meta-analysis. Gastroenterology 2019; 156: 1661-1674.e11
    CrossrefPubMedGoogle Scholar
  • 4 Repici A, Badalamenti M, Maselli R. et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology 2020; DOI: 10.1053/j.gastro.2020.04.062.
    CrossrefPubMedGoogle Scholar
  • 5 Hassan C, Wallace MB, Sharma P. et al. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection. Gut 2020; 69: 799-800
    CrossrefPubMedGoogle Scholar
  • 6 Bisschops R, East JE, Hassan C. et al. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019. Endoscopy 2019; 51: 1155-1179
    Article in Thieme ConnectPubMedGoogle Scholar