Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Aneurysm II: Clinical Manifestations and Diagnostic Studies01:21

Aneurysm II: Clinical Manifestations and Diagnostic Studies

Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Hepatocellular carcinoma muscle and skin metastasis: A case-report.

Radiology case reports·2026
Same author

AI-Powered MRI Radiomics and Deep Learning for Preoperative Prediction of Cavernous Sinus Invasion in Pituitary Adenomas: A Clinically Oriented Review of Current Evidence.

Neuroimage. Reports·2026
Same author

Neuromyelitis Optica Spectrum Disorder Following Pituitary Tumor Resection: A Rare but Critical Differential in Neurosurgical Practice.

Clinical case reports·2026
Same author

Achilles Allograft Reconstruction for Ankle Multiligament Injuries in a Patient Presenting With Rotational Ankle Instability: A Surgical Technique.

Case reports in surgery·2026
Same author

Infections in patients with multiple sclerosis treated with disease-modifying therapies: A comparative risk assessment cohort study.

Current journal of neurology·2026
Same author

Impacts of iodine factory effluents on the water quality and ecosystem health of Incheh Lagoon in Iran.

Scientific reports·2026

相关实验视频

Updated: Jun 27, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.4K

推进内动脉瘤检测:深度学习模型性能,临床整合和未来方向的全面系统审查和元分析.

Niloufar Delfan1, Fatemeh Abbasi2, Negar Emamzadeh3

  • 1School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; Neuraitex Research Center, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
|April 30, 2025
PubMed
概括

深度学习 (DL) 模型显著提高了脑动脉瘤的检测和预测,超过了人类诊断. DL协助提高了临床医生的准确性和一致性,为患者安全提供了变革性的潜力.

关键词:
计算机辅助诊断是指计算机辅助诊断.深度学习是一种深度学习.检测 检测 检测 检测 检测内动脉瘤 内动脉瘤

更多相关视频

Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI
06:30

Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI

Published on: December 16, 2021

3.6K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

922

相关实验视频

Last Updated: Jun 27, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.4K
Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI
06:30

Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI

Published on: December 16, 2021

3.6K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

922

科学领域:

  • 医学成像分析 医学成像分析
  • 医疗保健中的人工智能
  • 神经外科和神经病学 神经外科和神经病学

背景情况:

  • 大脑动脉瘤具有极大的风险,特别是当它破裂时,需要早期检测.
  • 传统的诊断方法往往缺乏敏感性和一致性.
  • 深度学习 (DL) 为提高诊断性能提供了一个有希望的途径.

研究的目的:

  • 系统地审查和元分析DL模型在检测和预测内动脉瘤方面的表现.
  • 将DL模型的性能与临床医生的评估进行比较.
  • 评估DL协助对临床医生的敏感性,特异性和评价者间协议的影响.

主要方法:

  • 对评估动脉瘤检测DL模型的研究进行系统审查和元分析.
  • 包括成像方式:CT血管学 (CTA),数字减去血管学 (DSA) 和MR血管学 (TOF-MRA).
  • 分析病变的敏感性,特异性和临床医生的表现,有或没有DL协助;根据动脉瘤大小/位置进行子组分析;使用Fleiss' κ.

主要成果:

  • 与人类诊断相比,DL系统实现了较高的病变灵敏度 (90%) 和特异性 (94%).
  • DL辅助显著提高了临床医生的灵敏度 (82%至88%的病变智能) 和特异性 (93%至95%的病变智能).
  • DL实现了对动脉瘤>10mm的100%灵敏度和改善的间隔器协议 (Fleiss' κ从0.668到0.862).

结论:

  • 通过提高准确性和减少错误诊断,DL模型显示了脑动脉瘤管理的变革潜力.
  • DL系统可以有效地支持神经血管诊断中的临床决策.
  • 在不同的环境中进一步验证和工作流集成对于广泛采用DL至关重要.