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In World neurosurgery ; h5-index 47.0

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.

Palmisciano Paolo, Jamjoom Aimun Ab, Taylor Daniel, Stoyanov Danail, Marcus Hani J

2020-Mar-13

Artificial Intelligence, General Surgery, Neurosurgery, Patients, Survey and Questionnaires, Technology