Feng S Q
Department of Orthopedics of the Second Hospital of Shandong University, Department of Orthopedics of Qilu Hospital, Shandong University Center for Orthopedics, International Science and Technology Cooperation Base of Spinal Cord Injury, Jinan 250033, China.
Zhonghua Yi Xue Za Zhi. 2024 Oct 8;104(37):3459-3464. doi: 10.3760/cma.j.cn112137-20240410-00840.
Artificial intelligence has emerged as a game-changer in the field of spine surgery, offering transformative diagnostic and therapeutic approaches for spinal conditions. The application of AI in spine research encompasses a diverse range of diseases, with usage scenarios becoming increasingly widespread and technological integration going deeper. AI technology shows immense promise and value in the diagnosis of spinal diseases, the formulation of treatment strategies, surgical navigation, prognostic evaluation, and postoperative rehabilitation. Through deep learning and machine learning, AI can aid doctors in enhancing diagnostic accuracy, creating personalized treatment plans, and executing precise maneuvers during surgery, thus improving operational safety. Moreover, AI can provide intelligent support for patients' postoperative recovery, facilitating the restoration of their functions. However, current research is still in its nascent stage and confronts several challenges, such as the lack of standardized databases, the simplicity of algorithmic learning models, the inadequate fusion of multi-modal clinical information, and the limited clinical applicability. By developing open-source, standardized spine databases, incorporating innovative intelligent core algorithms, and establishing normalized screening, diagnostic, and predictive models for spinal conditions, we trust that we can drive the innovation and refinement of diagnostic and treatment technologies in spine surgery. This will realize an effective conjunction between technological provision and clinical demands, continuously elevating the intelligence level of spine surgery and offering safer, more effective medical services to a vast array of patients.
人工智能已成为脊柱外科领域的变革者，为脊柱疾病提供了变革性的诊断和治疗方法。人工智能在脊柱研究中的应用涵盖多种疾病，其使用场景日益广泛，技术整合也日益深入。人工智能技术在脊柱疾病诊断、治疗策略制定、手术导航、预后评估及术后康复等方面展现出巨大的潜力和价值。通过深度学习和机器学习，人工智能可协助医生提高诊断准确性、制定个性化治疗方案并在手术中执行精确操作，从而提高手术安全性。此外，人工智能可为患者术后恢复提供智能支持，促进其功能恢复。然而，目前的研究仍处于起步阶段，面临一些挑战，如缺乏标准化数据库、算法学习模型简单、多模态临床信息融合不足以及临床适用性有限等。通过开发开源、标准化的脊柱数据库，纳入创新的智能核心算法，并建立针对脊柱疾病的规范化筛查、诊断和预测模型，我们相信能够推动脊柱外科诊断和治疗技术的创新与完善。这将实现技术供给与临床需求的有效衔接，不断提高脊柱外科的智能化水平，为广大患者提供更安全、有效的医疗服务。
