• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
The use of artificial intelligence in treating chronic back pain.人工智能在治疗慢性背痛中的应用。
Korean J Pain. 2023 Oct 1;36(4):478-480. doi: 10.3344/kjp.23239.
2
Physical clinical care and artificial-intelligence-guided core resistance training improve endurance and patient-reported outcomes in subjects with lower back pain.物理临床护理和人工智能引导的核心抗阻训练可改善下背痛患者的耐力和患者报告的结局。
Clin Biomech (Bristol). 2023 Mar;103:105902. doi: 10.1016/j.clinbiomech.2023.105902. Epub 2023 Feb 15.
3
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review.人工智能和计算机视觉在腰痛中的应用：系统综述。
Int J Environ Res Public Health. 2021 Oct 17;18(20):10909. doi: 10.3390/ijerph182010909.
4
Using artificial intelligence algorithms to identify existing knowledge within the back pain literature.利用人工智能算法识别腰痛文献中的现有知识。
Eur Spine J. 2020 Aug;29(8):1917-1924. doi: 10.1007/s00586-020-06447-y. Epub 2020 May 22.
5
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review.人工智能和计算机辅助诊断在慢性下腰痛中的应用：系统评价。
Int J Environ Res Public Health. 2022 May 14;19(10):5971. doi: 10.3390/ijerph19105971.
6
Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain-A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups.联合人工智能方法分析1000例保守治疗的背痛患者——预测治疗效果和诊断分组的方法路径
Diagnostics (Basel). 2021 Oct 20;11(11):1934. doi: 10.3390/diagnostics11111934.
7
Thermography evaluation of low back pain in pregnant women: Cross-sectional study.孕妇腰痛的热成像评估：横断面研究。
J Bodyw Mov Ther. 2021 Oct;28:478-482. doi: 10.1016/j.jbmt.2021.07.040. Epub 2021 Aug 8.
8
Artificial intelligence analysis of paraspinal power spectra.
Clin Biomech (Bristol). 1996 Oct;11(7):422-424. doi: 10.1016/0268-0033(96)00016-2.
9
Artificial intelligence in the diagnosis of low back pain.人工智能在腰痛诊断中的应用
Orthop Clin North Am. 1991 Apr;22(2):303-14.
10
Effect of an Artificial Intelligence-Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care: A Randomized Clinical Trial.基于人工智能的自我管理应用对转诊至专科治疗的颈痛和/或腰痛患者肌肉骨骼健康的影响：一项随机临床试验。
JAMA Netw Open. 2023 Jun 1;6(6):e2320400. doi: 10.1001/jamanetworkopen.2023.20400.

引用本文的文献

1
A Comparison Between Physical Methods Based on Mechanical Action and Pharmacotherapy in the Treatment of Discogenic Low Back Pain.基于机械作用的物理方法与药物疗法治疗椎间盘源性下腰痛的比较
Healthcare (Basel). 2025 Sep 8;13(17):2238. doi: 10.3390/healthcare13172238.
2
Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain.评估ChatGPT、Gemini和Perplexity针对有关腰痛的最常见关键词所给出回答的可读性、质量和可靠性。
PeerJ. 2025 Jan 22;13:e18847. doi: 10.7717/peerj.18847. eCollection 2025.
3
The downsides of artificial intelligence in healthcare.人工智能在医疗保健领域的负面影响。
Korean J Pain. 2024 Jan 1;37(1):87-88. doi: 10.3344/kjp.23312. Epub 2023 Dec 14.

本文引用的文献

1
Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.人工智能在自动疼痛评估中的应用：研究方法与展望。
Pain Res Manag. 2023 Jun 28;2023:6018736. doi: 10.1155/2023/6018736. eCollection 2023.
2
Impact of an AI app-based exercise program for people with low back pain compared to standard care: A longitudinal cohort-study.与标准护理相比，基于人工智能应用程序的运动计划对腰痛患者的影响：一项纵向队列研究。
Health Sci Rep. 2023 Jan 12;6(1):e1060. doi: 10.1002/hsr2.1060. eCollection 2023 Jan.
3
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review.人工智能和计算机辅助诊断在慢性下腰痛中的应用：系统评价。
Int J Environ Res Public Health. 2022 May 14;19(10):5971. doi: 10.3390/ijerph19105971.
4
Privacy and artificial intelligence: challenges for protecting health information in a new era.隐私与人工智能：新时代保护健康信息的挑战。
BMC Med Ethics. 2021 Sep 15;22(1):122. doi: 10.1186/s12910-021-00687-3.
5
Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.使用脑电图数据对疼痛强度、疼痛表型或治疗结果进行分类的机器学习算法有效性的系统评价
J Pain. 2022 Mar;23(3):349-369. doi: 10.1016/j.jpain.2021.07.011. Epub 2021 Aug 21.
6
Artificial intelligence in healthcare: transforming the practice of medicine.医疗保健领域的人工智能：变革医学实践。
Future Healthc J. 2021 Jul;8(2):e188-e194. doi: 10.7861/fhj.2021-0095.
7
AI MSK clinical applications: spine imaging.人工智能在肌肉骨骼系统中的临床应用：脊柱成像。
Skeletal Radiol. 2022 Feb;51(2):279-291. doi: 10.1007/s00256-021-03862-0. Epub 2021 Jul 15.
8
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review.人工智能在患者安全结果中的作用：系统文献综述
JMIR Med Inform. 2020 Jul 24;8(7):e18599. doi: 10.2196/18599.

The use of artificial intelligence in treating chronic back pain.

作者信息

Do Kenny, Kawana Eric, Vachirakorntong Benjamin, Do Jenifer, Seibel Ross

机构信息

Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, Las Vegas, NV, USA.

Touro University Nevada College of Osteopathic Medicine, Henderson, NV, USA.

出版信息

Korean J Pain. 2023 Oct 1;36(4):478-480. doi: 10.3344/kjp.23239.

DOI:10.3344/kjp.23239
PMID:37752668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10551394/
Abstract
摘要