2022
DOI: 10.3389/fmed.2022.990604
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Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

Abstract: BackgroundArtificial intelligence (AI) needs to be accepted and understood by physicians and medical students, but few have systematically assessed their attitudes. We investigated clinical AI acceptance among physicians and medical students around the world to provide implementation guidance.Materials and methodsWe conducted a two-stage study, involving a foundational systematic review of physician and medical student acceptance of clinical AI. This enabled us to design a suitable web-based questionnaire whic… Show more

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Cited by 36 publications
(15 citation statements)
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References 74 publications
(186 reference statements)
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“…The second category of worries is caused by the unpredictable errors of AI devices such as the lack of data from rural communities and ethnic minorities and algorithms with poor explaining ability and low accuracy 27 . Therefore, it may not seem so strange that 77.6% of our participants also did not trust the analysis of patient information by AI and their reports.…”
Section: Discussionmentioning
confidence: 96%
See 1 more Smart Citation
“…The second category of worries is caused by the unpredictable errors of AI devices such as the lack of data from rural communities and ethnic minorities and algorithms with poor explaining ability and low accuracy 27 . Therefore, it may not seem so strange that 77.6% of our participants also did not trust the analysis of patient information by AI and their reports.…”
Section: Discussionmentioning
confidence: 96%
“…On the other hand, they should also cooperate with scientists in the field of computer and AI to build and develop AI tools and to adapt to it as best and accurately as possible. Because it will not be possible to advance the goals without taking advantage of the clinical insight of these people 27 …”
Section: Discussionmentioning
confidence: 99%
“…The implementation of the CAIADS still has the following problems in less-developed areas ( 13 , 46 ). First, the quality of available cervical information (screening data, colposcopy images, etc.)…”
Section: Discussionmentioning
confidence: 99%
“…16,17,16,18 In this study, we found the participants had low to moderate levels of trust in the AI system, and the AI-group did not report increased trust in the system at follow-up. This lack of trust despite improved performance with AI is well described outside of POCUS, 22,28,29 which underscores the need for effective curricula on how to optimally integrate AI with clinical care. 30 Moreover, the AI group did not report higher confidence levels in their own skills despite significantly higher levels of performance.…”
Section: Discussionmentioning
confidence: 99%