Application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation:evolution towards standardization,efficiency,and precision of diagnosis and treatment methods
- VernacularTitle: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
- Author:
Ziyu ZHANG
1
;
Longhao CHEN
;
Wei SHENG
;
Hanzhe LYU
;
Ying SHEN
;
Binghao WANG
;
Zhizhen LYU
;
Lijiang LYU
Author Information
- Publication Type:Journal Article
- Keywords: artificial intelligence; lumbar disc herniation; deep learning; machine learning; big data; robot; engineered tissue construction
- From: Chinese Journal of Tissue Engineering Research 2025;29(29):6269-6276
- CountryChina
- Language:Chinese
- 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.
