人工智能在膝骨关节炎诊疗中的应用进展
R684.3%R445; 膝骨关节炎(KOA)是一种慢性退行性关节疾病,在老龄人群中较为常见,具有高发性和高致残性.影像学检查是诊断KOA的常见方法,但由于人力和时间等因素限制,难以获得数据标签等先验信息,因而在预测疾病进展方面表现欠佳.随着大数据和计算机技术的快速发展,人工智能(AI)正在逐渐融入医疗领域的各个方面.AI辅助诊断模型在KOA自动化诊断、病情严重程度分级以及疾病进展预测方面有着巨大潜力,可显著提升诊断效率和疾病进展预测准确性,提供更加个性化的诊疗手段和精确的疾病进展风险评估,但也存在数据标签标注成本高、模型泛化能力差等局限性.本文综述AI在KOA诊疗中的应用进展,总结AI在该领...
Saved in:
| Published in | 解放军医学杂志 Vol. 50; no. 1; pp. 9 - 15 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
甘肃中医药大学第一临床医学院,甘肃 兰州 730030
28.01.2025
解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院运动医学科,甘肃 兰州 730050 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0577-7402 |
| DOI | 10.11855/j.issn.0577-7402.0023.2024.0307 |
Cover
| Abstract | R684.3%R445; 膝骨关节炎(KOA)是一种慢性退行性关节疾病,在老龄人群中较为常见,具有高发性和高致残性.影像学检查是诊断KOA的常见方法,但由于人力和时间等因素限制,难以获得数据标签等先验信息,因而在预测疾病进展方面表现欠佳.随着大数据和计算机技术的快速发展,人工智能(AI)正在逐渐融入医疗领域的各个方面.AI辅助诊断模型在KOA自动化诊断、病情严重程度分级以及疾病进展预测方面有着巨大潜力,可显著提升诊断效率和疾病进展预测准确性,提供更加个性化的诊疗手段和精确的疾病进展风险评估,但也存在数据标签标注成本高、模型泛化能力差等局限性.本文综述AI在KOA诊疗中的应用进展,总结AI在该领域的潜在价值,并针对目前AI技术的应用局限,提出建立更多标准化的临床样本数据库,持续优化AI算法,加强外部验证等建议,旨在更好地促进AI在KOA诊疗中的应用. |
|---|---|
| AbstractList | R684.3%R445; 膝骨关节炎(KOA)是一种慢性退行性关节疾病,在老龄人群中较为常见,具有高发性和高致残性.影像学检查是诊断KOA的常见方法,但由于人力和时间等因素限制,难以获得数据标签等先验信息,因而在预测疾病进展方面表现欠佳.随着大数据和计算机技术的快速发展,人工智能(AI)正在逐渐融入医疗领域的各个方面.AI辅助诊断模型在KOA自动化诊断、病情严重程度分级以及疾病进展预测方面有着巨大潜力,可显著提升诊断效率和疾病进展预测准确性,提供更加个性化的诊疗手段和精确的疾病进展风险评估,但也存在数据标签标注成本高、模型泛化能力差等局限性.本文综述AI在KOA诊疗中的应用进展,总结AI在该领域的潜在价值,并针对目前AI技术的应用局限,提出建立更多标准化的临床样本数据库,持续优化AI算法,加强外部验证等建议,旨在更好地促进AI在KOA诊疗中的应用. |
| Abstract_FL | Knee osteoarthritis(KOA)is a chronic degenerative joint disease,which poses a major challenge particularly among the elderly population due to its high incidence and high disability.Imaging examination has been used commonly to diagnose KOA.However,it faces imitations in predicting disease progression due to the lack of prior information and constraints in manpower and time.With the rapid evolution of big data and computational technologies,artificial intelligence(AI)is progressively integrating into various healthcare domains.Therefore,the integration of artificial intelligence(AI)into healthcare holds promise for revolutionizing KOA diagnosis and treatment.AI-assisted diagnostic models have demonstrated the potential to automate diagnosis,classify disease severity,and predict disease progression with improved efficiency and accuracy.In addition,these models provide personalized diagnosis and treatment options,as well as accurate disease progression risk assessment.Despite these promising outcomes,challenges such as high costs associated with data annotation and limitations in model generalization capabilities persist.This paper reviews recent advancements in AI applications and summarizes the potential value of utilizing AI applications for KOA.To further enhance the utilization of AI in KOA management to overcome current limitations,future efforts should focus on standardizing clinical sample databases,optimizing AI algorithms,and enhancing external verification sets. |
| Author | 李旭升 张浩强 吴昊越 党晨珀 于海涛 |
| AuthorAffiliation | 甘肃中医药大学第一临床医学院,甘肃 兰州 730030;解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院运动医学科,甘肃 兰州 730050 |
| AuthorAffiliation_xml | – name: 甘肃中医药大学第一临床医学院,甘肃 兰州 730030;解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院运动医学科,甘肃 兰州 730050 |
| Author_FL | Zhang Hao-Qiang Yu Hai-Tao Wu Hao-Yue Li Xu-Sheng Dang Chen-Po |
| Author_FL_xml | – sequence: 1 fullname: Yu Hai-Tao – sequence: 2 fullname: Wu Hao-Yue – sequence: 3 fullname: Zhang Hao-Qiang – sequence: 4 fullname: Dang Chen-Po – sequence: 5 fullname: Li Xu-Sheng |
| Author_xml | – sequence: 1 fullname: 于海涛 – sequence: 2 fullname: 吴昊越 – sequence: 3 fullname: 张浩强 – sequence: 4 fullname: 党晨珀 – sequence: 5 fullname: 李旭升 |
| BookMark | eNo9j7tKA0EYhaeIYIx5jzQ7_jOz_86klOANAjZah73MSBbZgIOoKeOlSGEVI95KYRFExEJZEF8m665v4YpidYoD5zvfAqklg0QT0mJAGVOISzHtW5tQQCkd6QKnAFxQDtylIEDWSP2_midNa_sBAGPgusyrE2-WZfnr_edVVh6_57dpeXb39ZDmpy_leFSMzsuncTG9nL09FtcneTYpJmn5cZM_XyySOePvWt38ywbZXl3Z6qw73c21jc5y17EMBHcMojYaVdtXmgmOElWkIfQ5VwjSKNYW3AcVuVLrMPLQmHYIyDDAwIuqi6JBWr-7B35i_GSnFw_295KK2ItNfHQ4HFaaCOzH-Btp2GBs |
| ClassificationCodes | R684.3%R445 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.11855/j.issn.0577-7402.0023.2024.0307 |
| DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| DocumentTitle_FL | Advances in application of artificial intelligence in diagnosis and progress prediction of knee osteoarthritis |
| EndPage | 15 |
| ExternalDocumentID | jfjyxzz202501002 |
| GroupedDBID | -05 2B. 4A8 5VS 5XA 5XF 92F 92I 93N ABUWG ACGFS AFKRA ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVBZV CCEZO CCPQU CIEJG CW9 IPNFZ KQ8 PQQKQ PROAC PSX RIG RNS TCJ TGQ U1G U5O |
| ID | FETCH-LOGICAL-s1032-f55efe589a8e1325758de0ca228507f81932a08d47eecd65ff9c0515b5b6d1043 |
| ISSN | 0577-7402 |
| IngestDate | Thu May 29 04:00:08 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | deep learning 机器学习 osteoarthritis 深度学习 骨关节炎 人工智能 machine learning artificial intelligence |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-s1032-f55efe589a8e1325758de0ca228507f81932a08d47eecd65ff9c0515b5b6d1043 |
| PageCount | 7 |
| ParticipantIDs | wanfang_journals_jfjyxzz202501002 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-01-28 |
| PublicationDateYYYYMMDD | 2025-01-28 |
| PublicationDate_xml | – month: 01 year: 2025 text: 2025-01-28 day: 28 |
| PublicationDecade | 2020 |
| PublicationTitle | 解放军医学杂志 |
| PublicationTitle_FL | Medical Journal of Chinese People's Liberation Army |
| PublicationYear | 2025 |
| Publisher | 甘肃中医药大学第一临床医学院,甘肃 兰州 730030 解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院运动医学科,甘肃 兰州 730050 |
| Publisher_xml | – name: 解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院关节外科,甘肃 兰州 730050%解放军联勤保障部队第940医院运动医学科,甘肃 兰州 730050 – name: 甘肃中医药大学第一临床医学院,甘肃 兰州 730030 |
| SSID | ssib001104416 ssib002263991 ssib046619461 ssib051375714 ssj0058562 ssib038074682 ssib052002838 |
| Score | 2.4229112 |
| Snippet | R684.3%R445; 膝骨关节炎(KOA)是一种慢性退行性关节疾病,在老龄人群中较为常见,具有高发性和高致残性.影像学检查是诊断KOA的常见方法,但由于人力和时间等因素限制,难以获... |
| SourceID | wanfang |
| SourceType | Aggregation Database |
| StartPage | 9 |
| Title | 人工智能在膝骨关节炎诊疗中的应用进展 |
| URI | https://d.wanfangdata.com.cn/periodical/jfjyxzz202501002 |
| Volume | 50 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library issn: 0577-7402 databaseCode: KQ8 dateStart: 20110101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html omitProxy: true ssIdentifier: ssj0058562 providerName: Colorado Alliance of Research Libraries – providerCode: PRVPQU databaseName: East & South Asia Database issn: 0577-7402 databaseCode: BVBZV dateStart: 20110101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://search.proquest.com/eastsouthasia omitProxy: false ssIdentifier: ssj0058562 providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central issn: 0577-7402 databaseCode: BENPR dateStart: 20110101 customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.proquest.com/central omitProxy: true ssIdentifier: ssj0058562 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LaxRBEG5iAsGL-MQ3EWwQwqyzM_08zuxOCEKCSAK5hXkqOaxgNqB7jI9DDp6i4usoBEFEBJUF8c9k3fVfWNXTu7MxAaMwDE11T3XVV9NT1dMvQq7GLGG4v6STeZnvMOlLJ4ll4Yg0F5zHseQ5Lk5eWBTzy-zGCl-ZOPJlbNbSRjuppZ0D15X8j1WBBnbFVbL_YNkRUyBAGuwLd7Aw3A9lYxoxGgZ4RZyGkgacRoJqbSiKKp-GTczSDRooQ4FcoGgaBIbCqYIHfZMVUOXRSOJdRUgJ5pAIFA1PSVMXEJuGAoWZqTSgmhkKs1WEc1SHJqtOy4Mth7Gv4QlC-kZI4BYZAYQtrxo0NAmoIhCmTNOIxA3Pkb-0SqOMgoZGb0wgm6oI6OzSkBkuRjeUTEBivEgIsLiWS6AtJdxTBOABXUtQUT-AB1Bxx_-VeDgtcbj2HN9uC4cuEffQDBV2Iz0hq4kQo8IMcak0B4waeJVPKdcmwiHiKjgIL21k9KDN7Bdgdmhq174pOprFIwTsYFXpCLiUjmTuHq_F3X2ts3RBeiyWKVfK7veSinPjJpF9bcQefy76NcCN1fDTX0UIo3mba8Xag_udDkLr1s0erlMeeFN3kkyF0eLNW1UgDr388fFsCPIhEh55EjzlgIlqVyUm8GdatcKa133JZTW-j3uDeWZ8v4yxoI9rjgoeiT5Nrg0Vu_4XtczqvFYRt26PBZJLx8kx2wOcCcrmfIJMdO6cJNMLdo7LKSJ2u93e13c_X3YHD7_33uwMnrz99X6n9_jzYGuzv_l08HGr__zF7rcP_VePet3t_vbO4Mfr3qdnp8nyXLTUmHfs6SbOOm5i6RSc50XOlY5VXvfBc3KV5W4ae56CPlqhsGcVuypjMs_TTPCi0CkeyJTwRGQAr3-GTLbutvKzZCZWWZEWRV1kbspUkWjppxyiUBnnwmPKPUeuWJVX7ddrffVPU54_RJkL5GjVqi6Syfa9jfwSxOTt5LJ9AX4DX72j9g |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%9C%A8%E8%86%9D%E9%AA%A8%E5%85%B3%E8%8A%82%E7%82%8E%E8%AF%8A%E7%96%97%E4%B8%AD%E7%9A%84%E5%BA%94%E7%94%A8%E8%BF%9B%E5%B1%95&rft.jtitle=%E8%A7%A3%E6%94%BE%E5%86%9B%E5%8C%BB%E5%AD%A6%E6%9D%82%E5%BF%97&rft.au=%E4%BA%8E%E6%B5%B7%E6%B6%9B&rft.au=%E5%90%B4%E6%98%8A%E8%B6%8A&rft.au=%E5%BC%A0%E6%B5%A9%E5%BC%BA&rft.au=%E5%85%9A%E6%99%A8%E7%8F%80&rft.date=2025-01-28&rft.pub=%E7%94%98%E8%82%83%E4%B8%AD%E5%8C%BB%E8%8D%AF%E5%A4%A7%E5%AD%A6%E7%AC%AC%E4%B8%80%E4%B8%B4%E5%BA%8A%E5%8C%BB%E5%AD%A6%E9%99%A2%2C%E7%94%98%E8%82%83+%E5%85%B0%E5%B7%9E+730030&rft.issn=0577-7402&rft.volume=50&rft.issue=1&rft.spage=9&rft.epage=15&rft_id=info:doi/10.11855%2Fj.issn.0577-7402.0023.2024.0307&rft.externalDocID=jfjyxzz202501002 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjfjyxzz%2Fjfjyxzz.jpg |