School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Expert Rev Med Devices. 2024 Aug;21(8):689-700. doi: 10.1080/17434440.2024.2384541. Epub 2024 Aug 8.
Due to the complex anatomy of the spine and the intricate surgical procedures involved, spinal surgery demands a high level of technical expertise from surgeons. The clinical application of image-guided spinal surgery has significantly enhanced lesion visualization, reduced operation time, and improved surgical outcomes.
This article reviews the latest advancements in deep learning and artificial intelligence in image-guided spinal surgery, aiming to provide references and guidance for surgeons, engineers, and researchers involved in this field.
Our analysis indicates that image-guided spinal surgery, augmented by artificial intelligence, outperforms traditional spinal surgery techniques. Moving forward, it is imperative to collect a more expansive dataset to further ensure the procedural safety of such surgeries. These insights carry significant implications for the integration of artificial intelligence in the medical field, ultimately poised to enhance the proficiency of surgeons and improve surgical outcomes.
由于脊柱的解剖结构复杂，手术过程复杂，因此脊柱外科需要外科医生具备高超的技术专长。图像引导脊柱手术的临床应用显著提高了病变可视化程度，缩短了手术时间，并改善了手术结果。
本文综述了深度学习和人工智能在图像引导脊柱手术中的最新进展，旨在为该领域的外科医生、工程师和研究人员提供参考和指导。
我们的分析表明，人工智能增强的图像引导脊柱手术优于传统的脊柱手术技术。未来，必须收集更广泛的数据集，以进一步确保此类手术的程序安全。这些见解对人工智能在医学领域的整合具有重要意义，最终有望提高外科医生的水平并改善手术结果。
