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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (3): 14-20.doi: 10.6040/j.issn.1671-7554.0.2022.0956

• 专家综述 • 上一篇    下一篇

人工智能在脊柱畸形诊疗中的应用

吴南1,2,3,4,*(),仉建国1,2,3,4,朱源棚1,2,4,陈癸霖1,2,4,陈泽夫1,2,4   

  1. 1. 中国医学科学院北京协和医院骨科, 北京 100730
    2. 骨骼畸形遗传学研究北京市重点实验室, 北京 100730
    3. 疑难重症及罕见病国家重点实验室，北京协和医院, 北京 100730
    4. 中国医学科学院脊柱畸形大数据研究与应用重点实验室, 北京 100730
  • 收稿日期:2022-08-10 出版日期:2023-03-10 发布日期:2023-03-24
  • 通讯作者: 吴南 E-mail:dr.wunan@pumch.cn
  • 作者简介:吴南，医学博士，博士后，博士研究生导师，国家优秀青年科学基金获得者，中国医学科学院北京协和医学院研究员、骨科副主任医师。兼任中国医学科学院脊柱畸形大数据研究与应用重点实验室主任、北京协和医院青年工作部部长。师从我国著名骨科专家邱贵兴院士，并于美国贝勒医学院分子和人类遗传系James R. Lupski院士课题组从事博士后工作。组织建立的“系统解析脊柱侧凸及相关合并症(Deciphering Disorders Involving Scoliosis and Comorbidities, DISO，http://www.discostudy.org/)”国际多中心协作组，为全面揭示世界范围内脊柱畸形及相关疾病的遗传学病因及机制、实现脊柱畸形的精准诊疗打下坚实基础。是国际上较早将基因组学技术应用于脊柱畸形研究及精准诊疗的学者之一，多次受邀在国际和国内著名临床机构、科研院所及大会做专题报告|在脊柱畸形的分子遗传学及精准诊疗方面，发表论文128篇，其中中文核心12篇，SCI 116篇，总IF共832.2分，总引用3400余次(Google Scholar)。其中以(共同)第一/通信作者在《New England Journal of Medicine》《Molecular Cancer》 《Genome Medicine》 《American Journal of Human Genetics 》《American Journal of Human Genetics》《Kidney International》《Journal of Nanobiotechnology》等发表SCI论文72篇，总IF共482.2分，篇均IF=6.8。以(共同)第一/通信作者发表JCR 1区文章35篇，其中IF>10的文章7篇。近5年主持项目15项，授权国家发明专利8项，参编中英文书籍9部

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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摘要：

脊柱畸形是一种高致畸致残性疾病，其发病年龄可覆盖全生命周期。随着计算机技术的快速发展，人工智能有了显著的进步。目前人工智能在疾病的诊疗方面有着巨大的应用潜能，也逐渐被应用于脊柱畸形的筛查、诊治、手术决策、术中操作和并发症预测等多个方面。近年来，许多研究对此方向进行了探索，提出了很多具有优秀表现和广阔应用前景的方案与模型，本文就此做一综述。

关键词: 人工智能, 脊柱畸形, 脊柱侧凸, 神经网络, 机器学习

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

中图分类号: 

  • R681.5
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