Mohamed Ali A, Das Nikita, Still Megan E H, Sharma Akshay, Lucke-Wold Brandon, M Schirmer Clemens, Pirris Stephen, Adogwa Owoicho, Prevedello Daniel, Vessell Meena
Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
College of Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA.
Neurosurg Rev. 2025 Aug 19;48(1):606. doi: 10.1007/s10143-025-03745-1.
Throughout the past decade, artificial intelligence (AI) has evolved from theoretical use to practical application in various medical specialties including neurosurgery. Given the increasing interest and exploration of AI models at national neurosurgical conferences, outlining policy for the appropriate and ethical use of AI in neurosurgery is warranted. To this end, the Council of State Neurosurgical Societies (CSNS) Workforce Committee convened an ad hoc committee to explore AI in neurosurgery following passage of a resolution at the 2024 fall meeting (Resolution II-2024 F). This editorial discusses the development process, guiding principles, and supporting evidence behind the AI policy statement. The committee conducted a thorough review of current AI tools, their applications, and their potential pitfalls. A review of existing policies from professional bodies was also conducted. The resulting policy emphasizes five core domains based on the committee's findings and the need for structured guidance in those areas. These included responsible use, privacy and security, transparency, academic integrity, and financial conflicts. The committee also conducted original investigations to explore the efficacy of AI use in certain domains that were under explored in the literature, particularly in academics, to inform key positions.
在过去十年中，人工智能（AI）已从理论应用发展到在包括神经外科在内的各种医学专科中的实际应用。鉴于在全国神经外科会议上对人工智能模型的兴趣和探索不断增加，制定神经外科中人工智能适当和道德使用的政策是必要的。为此，国家神经外科学会理事会（CSNS）劳动力委员会在2024年秋季会议通过一项决议（决议II - 2024 F）后，召集了一个特设委员会来探索神经外科中的人工智能。这篇社论讨论了人工智能政策声明背后的制定过程、指导原则和支持证据。该委员会对当前的人工智能工具、其应用及其潜在缺陷进行了全面审查。还对专业机构的现有政策进行了审查。由此产生的政策基于委员会的调查结果以及这些领域对结构化指导的需求，强调了五个核心领域。这些领域包括负责任的使用、隐私和安全、透明度、学术诚信以及财务冲突。该委员会还进行了原创性调查，以探索人工智能在文献中未充分探讨的某些领域（特别是在学术界）的使用效果，为关键立场提供信息。
