Layard Horsfall Hugo, Palmisciano Paolo, Khan Danyal Z, Muirhead William, Koh Chan Hee, Stoyanov Danail, Marcus Hani J
Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, University College, London, United Kingdom; Wellcome EPSRC Centre for Interventional and Surgical Sciences, University College, London, United Kingdom.
Department of Neurosurgery, Policlinico Gaspare Rodolico, Catania, Italy.
World Neurosurg. 2021 Feb;146:e724-e730. doi: 10.1016/j.wneu.2020.10.171. Epub 2020 Nov 25.
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 toward the role of AI in neurosurgery.
In a 2-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, anesthetists, nurses, and operating room 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.
In the first-stage survey, 33 participants responded. Six main themes were identified: imaging interpretation and preoperative diagnosis, coordination of the surgical team, operative planning, real-time alert of hazards and complications, autonomous surgery, and postoperative management and follow-up. In the second stage, 100 participants responded. Responders somewhat agreed or strongly agreed about AI being used for imaging interpretation (62%), operative planning (82%), coordination of the surgical team (70%), real-time alert of hazards and complications (85%), and autonomous surgery (66%). The role of AI within postoperative management and follow-up was less agreeable (49%).
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.
人工智能（AI）有可能改变我们诊断和治疗患者的方式。我们团队之前的研究表明，大多数患者及其亲属对应用人工智能辅助手术治疗感到放心。本研究的目的是同样评估外科医生及更广泛的手术团队对人工智能在神经外科手术中作用的态度。
在一项两阶段横断面调查中，首先开展了一项开放式定性调查，以确定手术团队（包括外科医生、麻醉师、护士和手术室工作人员）对神经外科手术中人工智能的看法。进行主题分析以制定第二阶段的定量调查，并通过社交媒体进行分发。我们使用5级李克特量表评估他们对现实世界中人工智能实施的认同程度和接受程度。
在第一阶段调查中，有33名参与者做出回应。确定了六个主要主题：影像解读与术前诊断、手术团队协作、手术规划、危险和并发症实时警报、自主手术以及术后管理与随访。在第二阶段，有100名参与者做出回应。受访者对人工智能用于影像解读（62%）、手术规划（82%）、手术团队协作（70%）、危险和并发症实时警报（85%）以及自主手术（66%）表示有些认同或强烈认同。人工智能在术后管理和随访中的作用认同度较低（49%）。
本次调查表明，大多数外科医生和更广泛的手术团队对神经外科手术中应用人工智能既认同又接受。
