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Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale

BACKGROUND: The purpose of this paper is to develop and validate a standardized endoscopist acceptance scale for the implementation of artificial intelligence (AI) in gastrointestinal endoscopy. METHODS: After investigating endoscopists who have previously used AI and consulting with AI experts, we...

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Autores principales: Tian, Li, Zhang, Zinan, Long, Yu, Tang, Anliu, Deng, Minzi, Long, Xiuyan, Fang, Ning, Yu, Xiaoyu, Ruan, Xixian, Qiu, Jianing, Wang, Xiaoyan, Deng, Haijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040450/
https://www.ncbi.nlm.nih.gov/pubmed/35492311
http://dx.doi.org/10.3389/fmed.2022.760634
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author Tian, Li
Zhang, Zinan
Long, Yu
Tang, Anliu
Deng, Minzi
Long, Xiuyan
Fang, Ning
Yu, Xiaoyu
Ruan, Xixian
Qiu, Jianing
Wang, Xiaoyan
Deng, Haijun
author_facet Tian, Li
Zhang, Zinan
Long, Yu
Tang, Anliu
Deng, Minzi
Long, Xiuyan
Fang, Ning
Yu, Xiaoyu
Ruan, Xixian
Qiu, Jianing
Wang, Xiaoyan
Deng, Haijun
author_sort Tian, Li
collection PubMed
description BACKGROUND: The purpose of this paper is to develop and validate a standardized endoscopist acceptance scale for the implementation of artificial intelligence (AI) in gastrointestinal endoscopy. METHODS: After investigating endoscopists who have previously used AI and consulting with AI experts, we developed a provisional scale to measure the acceptance of AI as used in gastrointestinal endoscopy that was then distributed to a sample of endoscopists who have used AI. After analyzing the feedback data collected on the provisional scale, we developed a new formal scale with four factors. Cronbach's alpha, confirmatory factor analysis (CFA), content validity, and related validity were conducted to test the reliability and validity of the formal scale. We also constructed a receiver operating characteristic (ROC) curve in order to determine the scale's ability to distinguish higher acceptance and satisfaction. RESULTS: A total of 210 valid formal scale data points were collected. The overall Cronbach's alpha was 0.904. All the factor loadings were >0.50, of which the highest factor loading was 0.86 and the lowest was 0.54 (AVE = 0.580, CR = 0.953). The correlation coefficient between the total score of the scale and the satisfaction score was 0.876, and the area under the ROC curve was 0.949 ± 0.031. Endoscopists with a score higher than 50 tend to be accepting and satisfied with AI. CONCLUSION: This study yielded a viable questionnaire to measure the acceptance among endoscopists of the implementation of AI in gastroenterology.
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spelling pubmed-90404502022-04-27 Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale Tian, Li Zhang, Zinan Long, Yu Tang, Anliu Deng, Minzi Long, Xiuyan Fang, Ning Yu, Xiaoyu Ruan, Xixian Qiu, Jianing Wang, Xiaoyan Deng, Haijun Front Med (Lausanne) Medicine BACKGROUND: The purpose of this paper is to develop and validate a standardized endoscopist acceptance scale for the implementation of artificial intelligence (AI) in gastrointestinal endoscopy. METHODS: After investigating endoscopists who have previously used AI and consulting with AI experts, we developed a provisional scale to measure the acceptance of AI as used in gastrointestinal endoscopy that was then distributed to a sample of endoscopists who have used AI. After analyzing the feedback data collected on the provisional scale, we developed a new formal scale with four factors. Cronbach's alpha, confirmatory factor analysis (CFA), content validity, and related validity were conducted to test the reliability and validity of the formal scale. We also constructed a receiver operating characteristic (ROC) curve in order to determine the scale's ability to distinguish higher acceptance and satisfaction. RESULTS: A total of 210 valid formal scale data points were collected. The overall Cronbach's alpha was 0.904. All the factor loadings were >0.50, of which the highest factor loading was 0.86 and the lowest was 0.54 (AVE = 0.580, CR = 0.953). The correlation coefficient between the total score of the scale and the satisfaction score was 0.876, and the area under the ROC curve was 0.949 ± 0.031. Endoscopists with a score higher than 50 tend to be accepting and satisfied with AI. CONCLUSION: This study yielded a viable questionnaire to measure the acceptance among endoscopists of the implementation of AI in gastroenterology. Frontiers Media S.A. 2022-04-12 /pmc/articles/PMC9040450/ /pubmed/35492311 http://dx.doi.org/10.3389/fmed.2022.760634 Text en Copyright © 2022 Tian, Zhang, Long, Tang, Deng, Long, Fang, Yu, Ruan, Qiu, Wang and Deng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Tian, Li
Zhang, Zinan
Long, Yu
Tang, Anliu
Deng, Minzi
Long, Xiuyan
Fang, Ning
Yu, Xiaoyu
Ruan, Xixian
Qiu, Jianing
Wang, Xiaoyan
Deng, Haijun
Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title_full Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title_fullStr Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title_full_unstemmed Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title_short Endoscopists' Acceptance on the Implementation of Artificial Intelligence in Gastrointestinal Endoscopy: Development and Case Analysis of a Scale
title_sort endoscopists' acceptance on the implementation of artificial intelligence in gastrointestinal endoscopy: development and case analysis of a scale
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040450/
https://www.ncbi.nlm.nih.gov/pubmed/35492311
http://dx.doi.org/10.3389/fmed.2022.760634
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