Muthu Sathish, Ramasubramanian Swaminathan, Jeyaraman Madhan, Hartl Roger, Tavakoli Javad, Cho Samuel K, Scaramuzzo Laura, Singh Hardeep, Louie Philip K, Demetriades Andreas K, Hsieh Patrick C, Ćorluka Stipe, Wu Yabin, Chen Xiaolong, Le Hai V, Vadala Gianluca, Hamouda Waeel, Buser Zorica, Wang Jeffrey C, Meisel Hans-Jorg, Yoon Tim, Jain Amit
Department of Orthopaedics, Government Medical College, Karur, India.
Department of Spine Surgery, Orthopaedic Research Group, Coimbatore, India.
Global Spine J. 2025 Feb 20:21925682251323277. doi: 10.1177/21925682251323277.
Narrative Review.
We aim to investigate the integration and impact of enabling technologies, such as augmented reality, virtual reality, mixed reality, navigation, robotics, and artificial intelligence within the domain of spinal surgery.
We made a literature review for articles that examined the progression of adoption from initial to subsequent adopters. We also analysed the key determinants that influence adopting these technologies into clinical settings. These include cost-effectiveness, ease of integration, patient acceptance, learning curves, and availability of training resources. Based on the available data a suggestion has been made on the adoption framework for clinical utility.
These technological advancements have the potential to transform surgical practice, offering improved precision and efficiency. The journey toward widespread adoption presents challenges, which include the financial implications, the necessity for specialized training, and the complexities associated with integration. To navigate these hurdles, the study proposes recommendations aimed at improving cost efficiency, streamlining technology integration, investing in professional development, and nurturing a culture of innovation and research.
A framework has been established for the evaluation and integration of state-of-the-art technologies in spinal surgery, thereby maximizing their potential impact on surgical outcomes and patient welfare.
叙述性综述。
我们旨在研究增强现实、虚拟现实、混合现实、导航、机器人技术和人工智能等使能技术在脊柱外科领域的整合情况及其影响。
我们对研究从最初采用者到后续采用者的采用进展的文章进行了文献综述。我们还分析了影响这些技术在临床环境中采用的关键决定因素。这些因素包括成本效益、整合的难易程度、患者接受度、学习曲线以及培训资源的可用性。基于现有数据,针对临床应用的采用框架提出了建议。
这些技术进步有可能改变手术实践,提高精度和效率。广泛采用的过程面临挑战,包括财务影响、专业培训的必要性以及与整合相关的复杂性。为跨越这些障碍,该研究提出了旨在提高成本效益、简化技术整合、投资专业发展以及培育创新和研究文化的建议。
已建立了一个用于评估和整合脊柱外科领域先进技术的框架,从而最大限度地发挥其对外科手术结果和患者福祉的潜在影响。