脊柱外科中的人工智能:基于成像的诊断和手术技术应用。

IF 3.9 2区 医学 Q1 ORTHOPEDICS
James S MacLeod, Tyler Compton, Yianni Bakaes, Avani Chopra, Frances Akwuole, Cole Christenson, Wellington Hsu
{"title":"脊柱外科中的人工智能:基于成像的诊断和手术技术应用。","authors":"James S MacLeod, Tyler Compton, Yianni Bakaes, Avani Chopra, Frances Akwuole, Cole Christenson, Wellington Hsu","doi":"10.1007/s12178-025-09972-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Artificial intelligence (AI) has rapidly proliferated though medicine with many novel applications to improve patient care and optimize healthcare delivery. This review investigates recent literature surrounding the influence of AI imaging technologies on spine surgical practice and diagnosis.</p><p><strong>Recent findings: </strong>Robotic-assisted pedicle screw placement has been shown to increase the rate of clinically acceptable screw placement while increasing operative time. AI technologies have also shown promise in creating 3D spine imaging while reducing patient radiation exposure. Several models using various imaging modalities have been shown to reliably identify vertebral osteoporotic fractures, stenosis and spine cancers. Complex spinal anatomy and pathology as well as integration of robotics make spine surgery a promising field for the deployment of AI-based imaging technologies. Imaging-based AI projects show potential to enhance diagnostic and surgical efficiency, facilitate trainee learning and improve operative outcomes.</p>","PeriodicalId":10950,"journal":{"name":"Current Reviews in Musculoskeletal Medicine","volume":" ","pages":"398-405"},"PeriodicalIF":3.9000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12325831/pdf/","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.\",\"authors\":\"James S MacLeod, Tyler Compton, Yianni Bakaes, Avani Chopra, Frances Akwuole, Cole Christenson, Wellington Hsu\",\"doi\":\"10.1007/s12178-025-09972-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>Artificial intelligence (AI) has rapidly proliferated though medicine with many novel applications to improve patient care and optimize healthcare delivery. This review investigates recent literature surrounding the influence of AI imaging technologies on spine surgical practice and diagnosis.</p><p><strong>Recent findings: </strong>Robotic-assisted pedicle screw placement has been shown to increase the rate of clinically acceptable screw placement while increasing operative time. AI technologies have also shown promise in creating 3D spine imaging while reducing patient radiation exposure. Several models using various imaging modalities have been shown to reliably identify vertebral osteoporotic fractures, stenosis and spine cancers. Complex spinal anatomy and pathology as well as integration of robotics make spine surgery a promising field for the deployment of AI-based imaging technologies. Imaging-based AI projects show potential to enhance diagnostic and surgical efficiency, facilitate trainee learning and improve operative outcomes.</p>\",\"PeriodicalId\":10950,\"journal\":{\"name\":\"Current Reviews in Musculoskeletal Medicine\",\"volume\":\" \",\"pages\":\"398-405\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12325831/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Reviews in Musculoskeletal Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12178-025-09972-9\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Reviews in Musculoskeletal Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12178-025-09972-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0

摘要

综述目的:人工智能(AI)在医学领域迅速发展,在改善患者护理和优化医疗服务方面有许多新的应用。这篇综述调查了最近关于人工智能成像技术对脊柱外科实践和诊断影响的文献。最近的研究发现:机器人辅助的椎弓根螺钉置入已被证明增加了临床可接受的螺钉置入率,同时增加了手术时间。人工智能技术也显示出在减少患者辐射暴露的同时创建3D脊柱成像的前景。使用不同成像方式的几种模型已被证明可以可靠地识别椎体骨质疏松性骨折、狭窄和脊柱癌。复杂的脊柱解剖和病理以及机器人技术的集成使脊柱外科成为部署基于人工智能成像技术的有前途的领域。基于成像的人工智能项目显示出提高诊断和手术效率、促进学员学习和改善手术结果的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Artificial Intelligence in Spine Surgery: Imaging-Based Applications for Diagnosis and Surgical Techniques.

Purpose of review: Artificial intelligence (AI) has rapidly proliferated though medicine with many novel applications to improve patient care and optimize healthcare delivery. This review investigates recent literature surrounding the influence of AI imaging technologies on spine surgical practice and diagnosis.

Recent findings: Robotic-assisted pedicle screw placement has been shown to increase the rate of clinically acceptable screw placement while increasing operative time. AI technologies have also shown promise in creating 3D spine imaging while reducing patient radiation exposure. Several models using various imaging modalities have been shown to reliably identify vertebral osteoporotic fractures, stenosis and spine cancers. Complex spinal anatomy and pathology as well as integration of robotics make spine surgery a promising field for the deployment of AI-based imaging technologies. Imaging-based AI projects show potential to enhance diagnostic and surgical efficiency, facilitate trainee learning and improve operative outcomes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.50
自引率
2.40%
发文量
64
期刊介绍: This journal intends to review the most significant recent developments in the field of musculoskeletal medicine. By providing clear, insightful, balanced contributions by expert world-renowned authors, the journal aims to serve all those involved in the diagnosis, treatment, management, and prevention of musculoskeletal-related conditions. We accomplish this aim by appointing authorities to serve as Section Editors in key subject areas, such as rehabilitation of the knee and hip, sports medicine, trauma, pediatrics, health policy, customization in arthroplasty, and rheumatology. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. We also provide commentaries from well-known figures in the field, and an Editorial Board of more than 20 diverse members suggests topics of special interest to their country/region and ensures that topics are current and include emerging research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信