• 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

Watch Your Back! How Deep Learning Is Cracking the Real World of CT for Cervical Spine Fractures.

作者信息

Levi Riccardo, Politi Letterio S

机构信息

From the Department of Neuroradiology, IRCCS-Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy (R.L., L.S.P.); and Department of Biomedical Sciences, Humanitas University, Milan, Italy (L.S.P.).

出版信息

Radiol Artif Intell. 2024 Nov;6(6):e240604. doi: 10.1148/ryai.240604.

DOI:10.1148/ryai.240604
PMID:39601670
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11605139/
Abstract
摘要

相似文献

1
Watch Your Back! How Deep Learning Is Cracking the Real World of CT for Cervical Spine Fractures.小心背后!深度学习如何破解颈椎骨折CT的现实世界。
Radiol Artif Intell. 2024 Nov;6(6):e240604. doi: 10.1148/ryai.240604.
2
Development of a Machine Learning-Based Model for Accurate Detection and Classification of Cervical Spine Fractures Using CT Imaging.基于机器学习的模型用于利用CT成像准确检测和分类颈椎骨折的开发
Cureus. 2023 Oct 19;15(10):e47328. doi: 10.7759/cureus.47328. eCollection 2023 Oct.
3
Radiological evaluation and clinical implications of deep learning- and MRI-based synthetic CT for the assessment of cervical spine injuries.基于深度学习和磁共振成像的合成CT在评估颈椎损伤中的放射学评估及临床意义
Eur Radiol. 2025 May 7. doi: 10.1007/s00330-025-11644-8.
4
Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge.机器学习用于检测放射科医生在CT上漏诊的颈椎骨折:使用2022年RSNA颈椎骨折人工智能挑战赛的七个获奖模型进行分析
AJR Am J Roentgenol. 2025 Mar;224(3):e2432076. doi: 10.2214/AJR.24.32076. Epub 2025 Jan 8.
5
Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.人工智能算法与放射科医生在颈椎 CT 骨折检测中的诊断准确性比较。
Eur Radiol. 2024 Aug;34(8):5041-5048. doi: 10.1007/s00330-023-10559-6. Epub 2024 Jan 11.
6
Augmenting a spine CT scans dataset using VAEs, GANs, and transfer learning for improved detection of vertebral compression fractures.使用变分自编码器(VAE)、生成对抗网络(GAN)和迁移学习增强脊柱CT扫描数据集以改进椎体压缩骨折的检测。
Comput Biol Med. 2025 Jan;184:109446. doi: 10.1016/j.compbiomed.2024.109446. Epub 2024 Nov 16.
7
Diagnostic accuracy of deep learning for evaluation of C-spine injury from lateral neck radiographs.深度学习用于评估颈椎侧位X线片上颈椎损伤的诊断准确性。
Heliyon. 2022 Aug 24;8(8):e10372. doi: 10.1016/j.heliyon.2022.e10372. eCollection 2022 Aug.
8
Cervical Spine CT Can Miss Fractures in American Football Players When Protective Equipment is in Place: A Cadaver Study.颈椎 CT 扫描在美式橄榄球运动员佩戴防护装备时可能会漏诊骨折:一项尸体研究。
Clin Orthop Relat Res. 2021 Sep 1;479(9):2072-2080. doi: 10.1097/CORR.0000000000001816.
9
Head injuries and the risk of concurrent cervical spine fractures.头部损伤与并发颈椎骨折的风险。
Acta Neurochir (Wien). 2017 May;159(5):907-914. doi: 10.1007/s00701-017-3133-0. Epub 2017 Mar 3.
10
Accuracy of ICD-9-CM coding of cervical spine fractures: implications for research using administrative databases.国际疾病分类第九版临床修订本(ICD-9-CM)对颈椎骨折编码的准确性:对利用行政数据库进行研究的影响
Ann Adv Automot Med. 2008 Oct;52:101-5.

本文引用的文献

1
Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center.评估一级创伤中心 2022 年 RSNA 颈椎骨折检测竞赛模型的性能。
Radiol Artif Intell. 2024 Nov;6(6):e230550. doi: 10.1148/ryai.230550.
2
Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.人工智能算法与放射科医生在颈椎 CT 骨折检测中的诊断准确性比较。
Eur Radiol. 2024 Aug;34(8):5041-5048. doi: 10.1007/s00330-023-10559-6. Epub 2024 Jan 11.
3
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge.RSNA 2022 颈椎骨折检测挑战赛获奖算法的性能。
Radiol Artif Intell. 2024 Jan;6(1):e230256. doi: 10.1148/ryai.230256.
4
The RSNA Cervical Spine Fracture CT Dataset.RSNA颈椎骨折CT数据集。
Radiol Artif Intell. 2023 Aug 30;5(5):e230034. doi: 10.1148/ryai.230034. eCollection 2023 Sep.
5
Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map.使用精细预训练深度模型和显著性图对颈椎骨折和脱位进行分类
Diagnostics (Basel). 2023 Mar 28;13(7):1273. doi: 10.3390/diagnostics13071273.
6
Traumatic cervical spine fracture patterns on CT: a retrospective analysis at a level 1 trauma center.颈椎创伤性骨折模式的 CT 分析:1 级创伤中心的回顾性分析。
Emerg Radiol. 2021 Oct;28(5):965-976. doi: 10.1007/s10140-021-01952-z. Epub 2021 Jun 11.
7
Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.深度学习算法检测颈椎骨折的诊断准确性和失效模式分析。
AJNR Am J Neuroradiol. 2021 Aug;42(8):1550-1556. doi: 10.3174/ajnr.A7179. Epub 2021 Jun 11.