Download PDF
CC BY-NC-ND 4.0 · Endosc Int Open 2020; 08(10): E1385-E1386
DOI: 10.1055/a-1214-5858
Editorial

AI in endoscopy and medicolegal issues: the computer is guilty in case of missed cancer?

Ivan Jovanovic
1   Clinical Center of Serbia – Clinic for Gastroenterology and Hepatology, Beograd, Serbia
2   University of Belgrade Faculty of Medicine, Beograd, Serbia
› Author Affiliations
› Further Information
Also available at
   Permissions and Reprints

Artificial intelligence (AI), which is roughly defined as a computer (machines) programmed to simulate human intelligence in problem-solving and learned behavior, has changed modus operandi in many areas (elements) of our lives. It is being used in a wide range of activities, such as banking, remote sensing, transportation, healthcare, and more [1].



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

Refers to:

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

 

  • References

  • 1 Copeland BJ. Artificial intelligence. Encyclopedia Britannica; 2020 Available from (Accessed May 26, 2020): https://www.britannica.com/technology/artificial-intelligence
    PubMedGoogle Scholar
  • 2 Yang YJ, Chang SB. Application of artificial intelligence in gastroenterology. World J Gastroenterol 2019; 25: 1666-83
    CrossrefPubMedGoogle Scholar
  • 3 van der Sommen F, Zinger S, Curves WL. et al. Computer-aided detection of early neoplastic lesions in Barrett’s esophagus. Endoscopy 2016; 48: 617-624
    Article in Thieme ConnectPubMedGoogle Scholar
  • 4 Hirasawa T, Aoyama K, Tanimoto T. et al. Application of artificial intelligence using a convoluting neural network for detecting gastric cancer in endoscopic images. Gastric Cancer 2018; 21: 653-660
    CrossrefPubMedGoogle Scholar
  • 5 Byrne MF, Chapados N, Soudan F. et al. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut 2019; 68: 94-100
    CrossrefPubMedGoogle Scholar
  • 6 Wadhwa V, Alagappan M, Gonzalez A. et al. Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of United States gastroenterologists. Endosc Int Open 2020; 08: E1379-E1384
    Article in Thieme ConnectPubMedGoogle Scholar
  • 7 Urban G, Tripathi P, Alkayali T. et al. Deep learning localizes and identifies polyps in real time with 96 % accuracy in screening colonoscopy. Gastroenterology 2018; 155: 1069-1078
    CrossrefPubMedGoogle Scholar
  • 8 Misawa M, Kudo SE, Mori Y. et al. Artificial intelligence-assisted polyp detection for colonoscopy: initial experience. Gastroenterology 2018; 154: 2027-2029
    CrossrefPubMedGoogle Scholar
  • 9 Klare P, Sander C, Prinzen M. et al. Automated polyp detection in the colorectum: a prospective study (with videos). Gastrointestinal Endosc 2019; 89: 576-582
    CrossrefPubMedGoogle Scholar
  • 10 Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on medical devices, amending Directive 2001/83/EC, Regulation (EC) No 178/2002 and Regulation (EC) No 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC (OJ L 117, 5.5.2017, Article 2. p. 15–20).
    PubMedGoogle Scholar
  • 11 Sullivan HR, Schweikart SJ. Are current tort liability doctrines adequate for addressing injury caused by AI?. AMA J Ethics 2019; 21: E160-E166
    CrossrefPubMedGoogle Scholar
  • 12 Price WN. Artificial intelligence in health care: applications and legal implications. The SciTech Lawyer 2017; 14: 10-14
    PubMedGoogle Scholar