人工智能(AI)有可能破坏我们诊断和治疗患者的方式。我们小组先前的工作表明,大多数患者及其亲属对应用AI来增强外科护理感到满意。这项研究的目的是类似地评估外科医生和更广泛的手术团队对AI在神经外科中的作用的态度。
在两阶段横断面测量中,创建了一项初步的开放式定性调查,以确定手术团队对神经外科手术中人工智能的看法,包括外科医生,麻醉师,护士,和手术室从业者。进行主题分析以开发通过社交媒体分发的第二阶段定量调查。我们使用5点Likert量表评估了他们同意并对现实世界的AI实施感到满意的程度。
在第一阶段调查中,33人回答。确定了六个主要主题:影像学解释和术前诊断,手术团队的协调,行动规划,危险和并发症的实时警报,自主手术,以及术后管理和随访。在第二阶段,100名参与者回答。回应者对AI用于成像解释有些同意或强烈同意(62%),手术计划(82%),手术团队的协调(70%),危险和并发症的实时警报(85%),和自主手术(66%)。AI在术后管理和随访中的作用不太令人满意(49%)。
这项调查强调,大多数外科医生和更广泛的手术团队都同意并乐于接受人工智能在神经外科中的应用。
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.