Halman Joanna, Tencer Sonia, Siemiński Mariusz
Vascular Surgery Department, Medical University of Gdańsk, University Clinical Centre in Gdańsk, 80-952 Gdańsk, Poland.
Scientific Circle of Neurotraumatology, Department of Emergency Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Med Sci (Basel). 2025 Aug 12;13(3):126. doi: 10.3390/medsci13030126.
The rapid shift from open to endovascular techniques in vascular surgery has significantly decreased trainee exposure to high-stakes open procedures. Simulation-based training, especially that incorporating virtual reality (VR) and artificial intelligence (AI), provides a promising way to bridge this skill gap.
This narrative review aims to assess the current evidence on the integration of extended reality (XR) and AI into vascular surgeon training, focusing on technical skill development, performance evaluation, and educational results.
We reviewed the literature on AI- and XR-enhanced surgical education across various specialties, focusing on validated cognitive learning theories, simulation methods, and procedure-specific training. This review covered studies on general, neurosurgical, orthopedic, and vascular procedures, along with recent systematic reviews and consensus statements.
VR-based training speeds up skill learning, reduces procedural mistakes, and enhances both technical and non-technical skills. AI-powered platforms provide real-time feedback, performance benchmarking, and objective skill evaluations. In vascular surgery, high-fidelity simulations have proven effective for training in carotid artery stenting, EVAR, rAAA management, and peripheral interventions. Patient-specific rehearsal, haptic feedback, and mixed-reality tools further improve realism and readiness. However, challenges like cost, data security, algorithmic bias, and the absence of long-term outcome data remain.
XR and AI technologies are transforming vascular surgical education by providing scalable, evidence-based alternatives to traditional training methods. Future integration into curricula should focus on ethical use, thorough validation, and alignment with cognitive learning frameworks. A structured approach that combines VR, simulation, cadaver labs, and supervised practice may be the safest and most effective way to train the next generation of vascular surgeons.
血管外科手术从开放手术向血管内技术的快速转变显著减少了受训人员接触高风险开放手术的机会。基于模拟的培训,尤其是结合虚拟现实(VR)和人工智能(AI)的培训,为弥合这一技能差距提供了一种有前景的方法。
本叙述性综述旨在评估将扩展现实(XR)和AI整合到血管外科医生培训中的现有证据,重点关注技术技能发展、性能评估和教育成果。
我们回顾了关于AI和XR增强外科教育在各个专业的文献,重点关注经过验证的认知学习理论、模拟方法和特定手术培训。本综述涵盖了关于普通外科、神经外科、骨科和血管手术的研究,以及最近的系统评价和共识声明。
基于VR的培训加快了技能学习,减少了手术失误,并提高了技术和非技术技能。人工智能驱动的平台提供实时反馈、性能基准和客观的技能评估。在血管外科手术中,高保真模拟已被证明对颈动脉支架置入术、腹主动脉瘤腔内修复术(EVAR)、破裂腹主动脉瘤(rAAA)管理和外周介入治疗的培训有效。针对患者的预演、触觉反馈和混合现实工具进一步提高了真实感和准备程度。然而,成本、数据安全、算法偏差以及缺乏长期结果数据等挑战仍然存在。
XR和AI技术正在通过为传统培训方法提供可扩展的、基于证据的替代方案来改变血管外科教育。未来将其纳入课程应注重道德使用、全面验证以及与认知学习框架的一致性。结合VR、模拟、尸体实验室和监督实践的结构化方法可能是培训下一代血管外科医生最安全、最有效的方法。