Cargando…

Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence

BACKGROUND AND AIMS: With the potential integration of artificial intelligence (AI) into clinical practice, it is essential to understand end users’ perception of this novel technology. The aim of this study, which was endorsed by the British Society of Gastroenterology (BSG), was to evaluate the UK...

Descripción completa

Detalles Bibliográficos
Autores principales: Kader, Rawen, Baggaley, Rebecca F, Hussein, Mohamed, Ahmad, Omer F, Patel, Nisha, Corbett, Gareth, Dolwani, Sunil, Stoyanov, Danail, Lovat, Laurence B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380773/
https://www.ncbi.nlm.nih.gov/pubmed/36046492
http://dx.doi.org/10.1136/flgastro-2021-101994
_version_ 1784768939835785216
author Kader, Rawen
Baggaley, Rebecca F
Hussein, Mohamed
Ahmad, Omer F
Patel, Nisha
Corbett, Gareth
Dolwani, Sunil
Stoyanov, Danail
Lovat, Laurence B
author_facet Kader, Rawen
Baggaley, Rebecca F
Hussein, Mohamed
Ahmad, Omer F
Patel, Nisha
Corbett, Gareth
Dolwani, Sunil
Stoyanov, Danail
Lovat, Laurence B
author_sort Kader, Rawen
collection PubMed
description BACKGROUND AND AIMS: With the potential integration of artificial intelligence (AI) into clinical practice, it is essential to understand end users’ perception of this novel technology. The aim of this study, which was endorsed by the British Society of Gastroenterology (BSG), was to evaluate the UK gastroenterology and endoscopy communities’ views on AI. METHODS: An online survey was developed and disseminated to gastroenterologists and endoscopists across the UK. RESULTS: One hundred four participants completed the survey. Quality improvement in endoscopy (97%) and better endoscopic diagnosis (92%) were perceived as the most beneficial applications of AI to clinical practice. The most significant challenges were accountability for incorrect diagnoses (85%) and potential bias of algorithms (82%). A lack of guidelines (92%) was identified as the greatest barrier to adopting AI in routine clinical practice. Participants identified real-time endoscopic image diagnosis (95%) as a research priority for AI, while the most perceived significant barriers to AI research were funding (82%) and the availability of annotated data (76%). Participants consider the priorities for the BSG AI Task Force to be identifying research priorities (96%), guidelines for adopting AI devices in clinical practice (93%) and supporting the delivery of multicentre clinical trials (91%). CONCLUSION: This survey has identified views from the UK gastroenterology and endoscopy community regarding AI in clinical practice and research, and identified priorities for the newly formed BSG AI Task Force.
format Online
Article
Text
id pubmed-9380773
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-93807732022-08-30 Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence Kader, Rawen Baggaley, Rebecca F Hussein, Mohamed Ahmad, Omer F Patel, Nisha Corbett, Gareth Dolwani, Sunil Stoyanov, Danail Lovat, Laurence B Frontline Gastroenterol Endoscopy BACKGROUND AND AIMS: With the potential integration of artificial intelligence (AI) into clinical practice, it is essential to understand end users’ perception of this novel technology. The aim of this study, which was endorsed by the British Society of Gastroenterology (BSG), was to evaluate the UK gastroenterology and endoscopy communities’ views on AI. METHODS: An online survey was developed and disseminated to gastroenterologists and endoscopists across the UK. RESULTS: One hundred four participants completed the survey. Quality improvement in endoscopy (97%) and better endoscopic diagnosis (92%) were perceived as the most beneficial applications of AI to clinical practice. The most significant challenges were accountability for incorrect diagnoses (85%) and potential bias of algorithms (82%). A lack of guidelines (92%) was identified as the greatest barrier to adopting AI in routine clinical practice. Participants identified real-time endoscopic image diagnosis (95%) as a research priority for AI, while the most perceived significant barriers to AI research were funding (82%) and the availability of annotated data (76%). Participants consider the priorities for the BSG AI Task Force to be identifying research priorities (96%), guidelines for adopting AI devices in clinical practice (93%) and supporting the delivery of multicentre clinical trials (91%). CONCLUSION: This survey has identified views from the UK gastroenterology and endoscopy community regarding AI in clinical practice and research, and identified priorities for the newly formed BSG AI Task Force. BMJ Publishing Group 2022-01-17 /pmc/articles/PMC9380773/ /pubmed/36046492 http://dx.doi.org/10.1136/flgastro-2021-101994 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Endoscopy
Kader, Rawen
Baggaley, Rebecca F
Hussein, Mohamed
Ahmad, Omer F
Patel, Nisha
Corbett, Gareth
Dolwani, Sunil
Stoyanov, Danail
Lovat, Laurence B
Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title_full Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title_fullStr Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title_full_unstemmed Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title_short Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
title_sort survey on the perceptions of uk gastroenterologists and endoscopists to artificial intelligence
topic Endoscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380773/
https://www.ncbi.nlm.nih.gov/pubmed/36046492
http://dx.doi.org/10.1136/flgastro-2021-101994
work_keys_str_mv AT kaderrawen surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT baggaleyrebeccaf surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT husseinmohamed surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT ahmadomerf surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT patelnisha surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT corbettgareth surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT dolwanisunil surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT stoyanovdanail surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence
AT lovatlaurenceb surveyontheperceptionsofukgastroenterologistsandendoscopiststoartificialintelligence