eprintid: 10084793
rev_number: 27
eprint_status: archive
userid: 608
dir: disk0/10/08/47/93
datestamp: 2019-11-05 09:19:13
lastmod: 2021-09-27 22:22:27
status_changed: 2019-11-05 09:19:13
type: article
metadata_visibility: show
creators_name: Ahmad, OF
creators_name: Stoyanov, D
creators_name: Lovat, LB
title: Barriers and Pitfalls for Artificial Intelligence in Gastroenterology: Ethical and Regulatory issues
ispublished: pub
divisions: UCL
divisions: B02
divisions: C10
divisions: D16
divisions: G88
divisions: B04
divisions: C05
divisions: F48
divisions: F42
keywords: Artificial Intelligence; Machine Learning; Endoscopy; Ethics; Regulation
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Artificial intelligence (AI)-based technologies are developing rapidly, offering great promise for gastroenterology and particularly endoscopy. However, there are complex barriers and pitfalls that must be considered before widespread real-world clinical implementation can occur. This review highlights major ethical concerns related to data privacy and sharing that are essential for the development of AI models, through to practical clinical issues such as potential patient harm, accountability, bias in decisions, and impact on workforce. Finally, current regulatory pathways are discussed, recognizing that these need to evolve to deal with unique new challenges, such as the adaptive and rapidly iterative nature of AI-based technologies, while striking a balance between ensuring patient safety and promoting innovation.
date: 2020-04
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.tgie.2019.150636
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1712139
doi: 10.1016/j.tgie.2019.150636
lyricists_name: Ahmad, Omer
lyricists_name: Lovat, Laurence
lyricists_name: Stoyanov, Danail
lyricists_id: OFAHM68
lyricists_id: LBLOV52
lyricists_id: DSTOY26
actors_name: Austen, Jennifer
actors_id: JAUST66
actors_role: owner
full_text_status: public
publication: Techniques in Gastrointestinal Endoscopy
volume: 22
number: 2
pagerange: 80-84
issn: 1096-2883
citation:        Ahmad, OF;    Stoyanov, D;    Lovat, LB;      (2020)    Barriers and Pitfalls for Artificial Intelligence in Gastroenterology: Ethical and Regulatory issues.                   Techniques in Gastrointestinal Endoscopy , 22  (2)   pp. 80-84.    10.1016/j.tgie.2019.150636 <https://doi.org/10.1016/j.tgie.2019.150636>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10084793/3/Lovat%20TGIE%20Ahmad%20-%20Barriers%20and%20Pitfalls%20for%20AI.%20Submission%20Version%201.0.pdf