Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (3): 721-730.doi: 10.12307/2026.528

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Application and prospect of artificial intelligence in screening and diagnosis of scoliosis

Guan Yujie1, Zhao Bin2   

  1. 1Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China; 2Musculoskeletal Pain Clinic, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150001, Heilongjiang Province, China
  • Received:2024-12-22 Accepted:2025-02-20 Online:2026-01-28 Published:2025-07-07
  • Contact: Zhao Bin, MD, Associate chief physician, Musculoskeletal Pain Clinic, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150001, Heilongjiang Province, China
  • About author:Guan Yujie, Master candidate, Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
  • Supported by:
    Heilongjiang Province Postdoctoral Fund Project, No. LBH-Z22290 (to ZB)

Abstract: BACKGROUND: Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine. Its onset age covers the entire life cycle, becoming an important health issue that threatens people’s health. Artificial intelligence continues to advance with the development of computer science. At present, artificial intelligence has great potential for application in medical diagnosis and treatment, and is gradually being applied in screening and diagnosis of scoliosis.                                                     OBJECTIVE: To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis, elaborate on the progress of its application in recent years from multiple aspects, and look forward to its innovative points, providing reference for the future trend of intelligence.
METHODS: Search covered databases such as PubMed, IEEE Xplore, CNKI, and WanFang, using Chinese and English search terms such as “scoliosis, artificial intelligence, machine learning, screen, diagnosis.” Boolean logic was used to optimize the search strategy. Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included, and articles with weak correlation, outdated experimental design, or poor credibility were excluded. Finally, 83 articles were included for analysis.                                                       
RESULTS AND CONCLUSION: (1) Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis, chest X-ray screening, smartphone screening, X-ray diagnosis, CT and MRI diagnosis, and reconstruction of three-dimensional spinal images. (2) The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency, reduced misdiagnosis rates, and alleviated the burden on medical staff, facilitating early detection and diagnosis of scoliosis and safeguarding spinal health. 

Key words: scoliosis, artificial intelligence, machine learning, digitization, screening, diagnosis, physical examination, review 

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