Literature DB >> 32179185

Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

Paolo Palmisciano1, Aimun A B Jamjoom2, Daniel Taylor3, Danail Stoyanov3, Hani J Marcus4.   

Abstract

BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
METHODS: In a 2-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 2-week period. Presented AI platforms were rated appropriate and acceptable using 5-point Likert scales. Demographic data were collected. χ2 test was used 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%), and fully autonomous surgery (3/20; 15%). In the second stage, 107 participants responded. Most thought it 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 think that fully autonomous surgery was appropriate (27.1%) or acceptable (17.7%). Demographics did not have a significant influence on perception.
CONCLUSIONS: Most patients and their relatives believed that AI has a role in neurosurgery and found it acceptable. Notable exceptions were fully autonomous systems, with most wanting the neurosurgeon ultimately to remain in control.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Neurosurgery; Patients; Survey and questionnaires; Technology

Year:  2020        PMID: 32179185     DOI: 10.1016/j.wneu.2020.03.029

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  10 in total

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2.  Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis.

Authors:  Faisal A Nawaz; Austin A Barr; Monali Y Desai; Christos Tsagkaris; Romil Singh; Elisabeth Klager; Fabian Eibensteiner; Emil D Parvanov; Mojca Hribersek; Maria Kletecka-Pulker; Harald Willschke; Atanas G Atanasov
Journal:  Front Public Health       Date:  2022-07-01

3.  Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives.

Authors:  Simon Lennartz; Thomas Dratsch; David Zopfs; Thorsten Persigehl; David Maintz; Nils Große Hokamp; Daniel Pinto Dos Santos
Journal:  J Med Internet Res       Date:  2021-02-17       Impact factor: 5.428

Review 4.  Exploring stakeholder attitudes towards AI in clinical practice.

Authors:  Ian A Scott; Stacy M Carter; Enrico Coiera
Journal:  BMJ Health Care Inform       Date:  2021-12

Review 5.  Artificial Intelligence in Brain Tumour Surgery-An Emerging Paradigm.

Authors:  Simon Williams; Hugo Layard Horsfall; Jonathan P Funnell; John G Hanrahan; Danyal Z Khan; William Muirhead; Danail Stoyanov; Hani J Marcus
Journal:  Cancers (Basel)       Date:  2021-10-07       Impact factor: 6.639

6.  Machine Learning-Based Surgical Planning for Neurosurgery: Artificial Intelligent Approaches to the Cranium.

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Journal:  Front Surg       Date:  2022-04-29

7.  Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.

Authors:  Sebastian J Fritsch; Andrea Blankenheim; Alina Wahl; Petra Hetfeld; Oliver Maassen; Saskia Deffge; Julian Kunze; Rolf Rossaint; Morris Riedel; Gernot Marx; Johannes Bickenbach
Journal:  Digit Health       Date:  2022-08-08

8.  The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study).

Authors:  Sebastian Isbanner; Pauline O'Shaughnessy; David Steel; Scarlet Wilcock; Stacy Carter
Journal:  J Med Internet Res       Date:  2022-08-22       Impact factor: 7.076

9.  Noninvasive Determination of IDH and 1p19q Status of Lower-grade Gliomas Using MRI Radiomics: A Systematic Review.

Authors:  A P Bhandari; R Liong; J Koppen; S V Murthy; A Lasocki
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-26       Impact factor: 3.825

10.  Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.

Authors:  Hugo Layard Horsfall; Paolo Palmisciano; Danyal Z Khan; William Muirhead; Chan Hee Koh; Danail Stoyanov; Hani J Marcus
Journal:  World Neurosurg       Date:  2020-11-25       Impact factor: 2.104

  10 in total

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