Attitudes of the surgical team toward artificial intelligence in neurosurgery: an international two-stage cross-sectional survey.
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
BACKGROUND: Artificial Intelligence (AI) has the potential to disrupt how we diagnose and treat patients. Previous work by our group has demonstrated that the majority of patients and their relatives feel comfortable with the application of AI to augment surgical care. The aim of this study was to similarly evaluate the attitudes of surgeons and the wider surgical team towards the role of AI in neurosurgery. METHODS: In a two-stage cross sectional survey, an initial open-question qualitative survey was created to determine the perspective of the surgical team on AI in neurosurgery, including surgeons, anaesthetists, nurses, and theatre practitioners. Thematic analysis was performed to develop a second stage quantitative survey that was distributed via social media. We assessed the extent to which they agreed and were comfortable with real-world AI implementation using a 5-point Likert scale. RESULTS: In the first stage survey, 33 participants responded. Six main themes were identified: imaging interpretation and pre-operative diagnosis; co-ordination of the surgical team; operative planning; real-time alert of hazards and complications; autonomous surgery; post-operative management and follow-up. In the second stage, 100 participants responded. Responders somewhat agreed or strongly agreed about AI utilised for imaging interpretation (62%), operative planning (82%), co-ordination of the surgical team (70%), real-time alert of hazards and complications (85%), and autonomous surgery (66%). The role of AI within post-operative management and follow-up was less agreeable (49%). CONCLUSION: This survey highlights that the majority of surgeons and the wider surgical team both agree and are comfortable with the application of AI within neurosurgery.
Date Issued
2021-02-01
Date Acceptance
2020-10-31
Citation
World Neurosurgery, 2021, 146, pp.e724-e730
ISSN
1878-8750
Publisher
Elsevier
Start Page
e724
End Page
e730
Journal / Book Title
World Neurosurgery
Volume
146
Copyright Statement
© 2020 The Author(s). Published by Elsevier Inc. Under a Creative Commons license https://creativecommons.org/licenses/by/4.0/
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/33248306
PII: S1878-8750(20)32373-1
Subjects
Artificial Intelligence
machine learning
neurosurgery
operative planning
survey
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2020-11-25