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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (3): 37-45.doi: 10.6040/j.issn.1671-7554.0.2022.1426

• 专家综述 • 上一篇    下一篇

人工智能在骨科疾病诊治中的研究进展

黄霖*(),车圳,李明,李玉希,宁庆   

  1. 中山大学孙逸仙纪念医院骨外科，广东 广州 510120
  • 收稿日期:2022-12-17 出版日期:2023-03-10 发布日期:2023-03-24
  • 通讯作者: 黄霖 E-mail:huangl5@mail.sysu.edu.cn
  • 作者简介:黄霖，医学博士、主任医师、博士研究生导师，广东省杰出青年医学人才。现任中山大学孙逸仙纪念医院外科副主任，中山大学设备与实验室管理处副处长。2001年毕业于中山医科大学，同年起任职于中山大学附属第二医院。作为国家公派访问学者于2010年6月至2011年6月在西澳大学骨科研究中心交流。学术兼职有中华医学会骨科学分会第十一届委员会青年委员会脊柱学组副组长、中国医师协会骨科医师分会脊柱外科学组委员、广东省医学会骨科分会副主任委员、广东省医师协会脊柱外科医师分会副主任委员、广东省医学教育协会第一届脊柱外科专委会副主任委员、白求恩公益基金会广东省骨科加速康复联盟副主任委员兼秘书长、吴阶平医学基金会创新骨科学部常务委员等。主持国家自然科学基金、广东省基础与应用基础研究基金、广州市市校(院)联合资助项目基础与应用基础研究项目、广州市科技计划项目-重点研发计划等多个项目。主要致力于脊柱退行性病变、脊柱肿瘤等脊柱外科疾病的基础与临床研究，并着力脊柱外科手术机器人功能模块研发与智能骨科等“医工结合”领域。在具有国际及国内影响力的期刊上发表英文及中文论文近百篇，参编参译骨科专著6部，主译《EMORY脊柱外科技巧图解》

Research advances of artificial intelligence in the diagnosis and treatment of orthopaedic diseases

Lin HUANG*(),Zhen CHE,Ming LI,Yuxi LI,Qing NING   

  1. Department of Orthopedic, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, Guangdong, China
  • Received:2022-12-17 Online:2023-03-10 Published:2023-03-24
  • Contact: Lin HUANG E-mail:huangl5@mail.sysu.edu.cn

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摘要：

人工智能是一门新的技术科学，它深入研究开发用于模拟延展和扩充人脑智能的理论、方式、核心技术及应用软件与控制系统。其专业领域内容涵盖了机器人、图像识别和专家系统等。人工智能技术在众多医学学科领域内都有着重要的应用价值。特别在骨科领域中，人工智能不仅提升了影像科医师与骨科医师的工作效率、降低了工作负荷，与此同时也为患者提供了更多安全可靠、有力的临床技术保障，给临床骨科疾病的诊断、治疗带来了极大推动。本文回顾了近几年来人工智能技术在骨科疾病中的最新研究成果，旨在综述人工智能技术在骨科诊断、治疗领域的最新进展和尚存局限，为促进人工智能技术和骨科领域新的深度融合提供文献参考。

关键词: 人工智能, 骨科, 成像, 诊断, 治疗

Abstract:

Artificial intelligence (AI) is a new technical science, which conducts deep research and development of theories, methods, core technologies, application software and control systems for the simulation, extension and expansion of human brain intelligence. Its professional fields include robotics, image recognition and expert systems, and so on. AI has an important application value in many medical disciplines, especially in orthopedics. It not only improves the working efficiency of imaging doctors and orthopedic surgeons and reduces the workload, but also provides more safe, reliable and powerful clinical technical support for patients, bringing a great promotion to the diagnosis and treatment of orthopedic diseases. This paper reviews the latest research achievements and limitations of AI in orthopedic diseases, aiming to provide literature reference for the deep integration of AI and orthopedics.

Key words: Artificial intelligence, Orthopedics, Imaging, Diagnosis, Treatment

中图分类号: 

  • R681.5
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