Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (3): 14-20.doi: 10.6040/j.issn.1671-7554.0.2022.0956

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Application of artificial intelligence in the diagnosis and treatment of spinal deformity

Nan WU1,2,3,4,*(),Jianguo ZHANG1,2,3,4,Yuanpeng ZHU1,2,4,Guilin CHEN1,2,4,Zefu CHEN1,2,4   

  1. 1. Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
    2. Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
    3. State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing 100730, China
    4. Key Laboratory of Spinal Deformity Research and Application of Big Data, Beijing 100730, China
  • Received:2022-08-10 Online:2023-03-10 Published:2023-03-24
  • Contact: Nan WU E-mail:dr.wunan@pumch.cn

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Abstract:

Spinal deformity is a highly teratogenic and disabling disease, whose age of onset covers the entire life cycle. With the rapid development of computer technology, artificial intelligence has made remarkable progress, and has huge application potential in the diagnosis and treatment of diseases, especially in the screening, diagnosis and treatment, surgical decision-making, intraoperative operations and complication prediction of spinal deformities. In the past few years, a large number of researches have explored in the related fields and proposed plentiful well-working and promising projects and models. This paper will review the latest advances.

Key words: Artificial intelligence, Spinal deformity, Scoliosis, Neural network, Machine learning

CLC Number: 

  • R681.5
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