中国组织工程研究

中国组织工程研究 ›› 2025, Vol. 29 ›› Issue (29): 6269-6276.doi: 10.12307/2025.759

• 组织构建综述 tissue construction review • 上一篇    下一篇

人工智能应用于腰椎间盘突出症诊疗：推动诊治手段向规范化、高效化、精准化

张子瑜1，2，陈龙豪1，2，3，盛  威1，2，吕涵哲1，2，沈  颖1，2，王炳豪1，2，吕智桢1，2，3，吕立江 1，2，3   

  1. 1浙江中医药大学附属第三医院，浙江省杭州市  310000；浙江中医药大学，2第三临床医学院，3推拿(脊柱病)研究所，浙江省杭州市  310000

  • 收稿日期:2024-09-09 接受日期:2024-11-13 出版日期:2025-10-18 发布日期:2025-03-08
  • 通讯作者: 吕立江，教授，主任医师，硕士/博士生导师，浙江中医药大学附属第三医院，浙江省杭州市 310000；浙江中医药大学，第三临床医学院，推拿(脊柱病)研究所，浙江省杭州市 310000
  • 作者简介:张子瑜，男，2000年生，浙江省舟山市人，汉族，浙江中医药大学在读硕士，主要从事推拿与脊柱病方面的研究。
  • 基金资助:
    国家自然科学基金面上项目(82474668，82274672)，项目负责人：吕立江；国家自然科学基金面上项目(82305426)，项目负责人：吕智桢；国家中医药管理局高水平中医药重点学科项目(GJXK2023-85)，项目负责人：吕立江；浙江省重大研发攻关项目(2022C03123)，项目负责人：吕立江

Application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation: evolution towards standardization, efficiency, and precision of diagnosis and treatment methods

Zhang Ziyu1, 2, Chen Longhao1, 2, 3, Sheng Wei1, 2, Lyu Hanzhe1, 2, Shen Ying1, 2, Wang Binghao1, 2, Lyu Zhizhen1, 2, 3, Lyu Lijiang1, 2, 3     

  1. 1The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China; 2The Third Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China; 3The Institute of Tuina (Spinal Disease), Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China
  • Received:2024-09-09 Accepted:2024-11-13 Online:2025-10-18 Published:2025-03-08
  • Contact: Lyu Lijiang, Professor, Chief physician, Master’s supervisor/Doctoral supervisor, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China; The Third Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China; The Institute of Tuina (Spinal Disease), Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China
  • About author:Zhang Ziyu, Master candidate, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China; The Third Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China
  • Supported by:
    The General Program of the National Natural Science Foundation of China, Nos. 82474668, 82274672 (to LLJ); The General Program of the National Natural Science Foundation of China, No. 82305426 (to LZZ); China’s National Administration of Traditional Chinese Medicine (NATCM) Key Disciplines Project for High-Level Traditional Chinese Medicine, No. GJXK2023-85 (to LLJ); Major Research and Development Key Project of Zhejiang Province, No. 2022C03123 (to LLJ)

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摘要：


文题释义：
腰椎间盘突出症：是一种脊柱退行性疾病，腰椎间盘在不同程度的退行性改变后，在外力作用下导致髓核组织从椎间盘纤维环破裂处突出，使神经根遭受刺激或压迫，从而产生腰部疼痛及一侧下肢或双下肢麻木、疼痛等一系列临床症状。
人工智能：是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学，涵盖了深度学习、机器学习、大数据分析、自然语言处理等众多领域。

背景：近年来人工智能技术越来越多地被用于腰椎间盘突出症的诊治，提高了腰椎间盘突出症诊断的准确率及效率，丰富了腰椎间盘突出症的治疗手段，成为研究焦点。
目的：从诊断与治疗角度全面展现人工智能在腰椎间盘突出症中的应用现状，分析相应技术的局限性。
方法：应用计算机检索PubMed、中国知网、万方数据库及维普数据库建库至2024年8月发表的关于人工智能在腰椎间盘突出症诊治中应用的相关文献，英文检索词为“Lumbar Disc Herniation，Artificial Intelligence，Machine Learning，Deep Learning，Big Data，Robot，Neural Network，Model，Algorithm”，中文检索词为“腰椎间盘突出症，人工智能，机器学习，深度学习，大数据，机器人，神经网络，模型，算法”，按入组标准梳理最终筛选出101篇文献进行综述。
结果与结论：人工智能的不同技术推动了腰椎间盘突出症的智能化治疗，在未来的发展中凸显出巨大潜力。深度学习技术基于先进的算法，通过相应学习模型的构建对X射线片、CT及MRI影像进行优化处理，实现对退变腰椎间盘的精确定位、识别与分析，提高了自动化诊断的精度。大数据技术利用数据平台，通过分析海量医疗数据模拟疾病发展趋势，为病情评估与预测提供了新的视角。手术机器人结合机械臂、3D高清视觉系统及5G通信技术为远程精确手术操作提供支持，展现显著的技术优势。未来人工智能对腰椎间盘突出症的诊治将通过算法的持续优化和数据平台的专业化发展，推动诊治手段向规范化、高效化、精准化方向演进。
https://orcid.org/0009-0006-3100-2748(张子瑜)

中国组织工程研究杂志出版内容重点：组织构建；骨细胞；软骨细胞；细胞培养；成纤维细胞；血管内皮细胞；骨质疏松；组织工程

关键词: 人工智能, 腰椎间盘突出症, 深度学习, 机器学习, 大数据, 机器人, 工程化组织构建

Abstract: BACKGROUND: In recent years, artificial intelligence has been increasingly integrated into the diagnosis and treatment of lumbar disc herniation, enhancing the accuracy and efficiency of diagnostic procedures and diversifying therapeutic approaches. This integration has positioned artificial intelligence as a burgeoning focal point within the field.
OBJECTIVE: To provide a comprehensive overview of the current applications of artificial intelligence in the diagnosis and treatment of lumbar disc herniation, to analyze the limitations of the relevant technologies.
METHODS: A systematic computer-assisted literature search was performed in PubMed, CNKI, WanFang Database, and VIP Database for relevant publications regarding the application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation from database inception up to August 2024. The search keywords included “lumbar disc herniation, artificial intelligence, machine learning, deep learning, big data, robot, neural network, model, algorithm.” A total of 101 articles were selected based on predefined inclusion criteria and were reviewed.
RESULTS AND CONCLUSION: Different artificial intelligence technologies have propelled the intelligent treatment of lumbar disc herniation, showing great potential for future development. Deep learning technology, based on advanced algorithms, constructs corresponding learning models to optimize the processing of X-ray, CT, and MRI images, achieving precise localization, identification, and analysis of degenerated intervertebral discs, and improving the accuracy of automated diagnosis. Big data technology utilizes data platforms to analyze vast medical data, simulate disease development trends, and provide a new perspective for disease assessment and prediction. Surgical robots, combined with robotic arms, 3D high-definition vision systems, and 5G communication technology, support remote precise surgical operations, demonstrating significant technological advantages. In the future, the diagnosis and treatment of lumbar disc herniation by artificial intelligence will evolve towards standardization, efficiency, and precision through continuous optimization of algorithms and the professional development of data platforms.

Key words: artificial intelligence, lumbar disc herniation, deep learning, machine learning, big data, robot, engineered tissue construction

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