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Attitudes of Patients and Their Relatives Towards Artificial Intelligence in Neurosurgery

Palmisciano, P; Jamjoom, AA; Taylor, D; Stoyanov, D; Marcus, HJ; (2020) Attitudes of Patients and Their Relatives Towards Artificial Intelligence in Neurosurgery. World Neurosurgery , 138 e627-e633. 10.1016/j.wneu.2020.03.029. Green open access

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Abstract

BACKGROUND: Artificial Intelligence (AI) may favorably support surgeons but may result in concern among patients and their relatives. OBJECTIVE: To evaluate attitudes of patients and their relatives towards the use of AI in neurosurgery. METHODS: In this two-stage cross-sectional survey, a qualitative survey was administered to a focus group of former patients to investigate their perception of AI and its role in neurosurgery. Five themes were identified and used to generate a case-based quantitative survey administered to inpatients and their relatives over a two-week period. Presented AI platforms were rated appropriate and acceptable using 5-point Likert scales. Demographic data was collected. A Chi Square test was performed to determine whether demographics influenced participants' attitudes. RESULTS: In the first stage, 20 participants responded. Five themes were identified: interpretation of imaging (4/20; 20%), operative planning (5/20; 25%), real-time alert of potential complications (10/20; 50%), partially autonomous surgery (6/20; 30%), fully autonomous surgery (3/20; 15%). In the second stage, 107 participants responded. The majority felt appropriate and acceptable to use AI for imaging interpretation (76.7%; 66.3%), operative planning (76.7%; 75.8%), real-time alert of potential complications (82.2%; 72.9%), and partially autonomous surgery (58%; 47.7%). Conversely, most did not feel that fully autonomous surgery was appropriate (27.1%) or acceptable (17.7%). Demographics did not have a significant influence on perception. CONCLUSIONS: The majority of patients and their relatives believed that AI has a role in neurosurgery and found it acceptable. Notable exceptions remain fully autonomous systems, with most wanting the neurosurgeon ultimately to remain in control.

Type: Article
Title: Attitudes of Patients and Their Relatives Towards Artificial Intelligence in Neurosurgery
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.wneu.2020.03.029
Publisher version: https://doi.org/10.1016/j.wneu.2020.03.029
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Artificial Intelligence, General Surgery, Neurosurgery, Patients, Survey and Questionnaires, Technology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10094197
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