Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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

Is Current Evidence Sufficient to Establish the Efficacy of Botulinum Toxin A in Treating Persistent Dry Eye Disease? A Systematic Review and Meta-Analysis of Interventional Studies With a Critical Review Using GRADE Tool.

Health science reports·2026

Same author

Re: 'The effect of botulinum toxin A on dry eye disease and syndromes'.

Clinical & experimental optometry·2026

Same author

Botulinum toxin a for dry eye disease: impact of population mixing and statistical issues.

Eye (London, England)·2026

Same author

Memantine, an NMDA Receptor Antagonist, Attenuates Doxorubicin-Induced Cardiac Oxidative Stress and Inflammation in Mouse 4T1 Breast Cancer Model.

Breast cancer : basic and clinical research·2025

Same author

Transverse Sinus Hypoplasia as a Differential Diagnosis for Cerebral Vein Thrombosis: A Case Report.

Clinical case reports·2025

Same author

Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging.

Journal of diabetes and metabolic disorders·2025

Search research articles

相关实验视频

Updated: Jul 8, 2025

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

使用视网膜图像进行多发性硬化症管理的人工智能:珍珠,峰值和陷.

Shadi Farabi Maleki¹, Milad Yousefi², Sayeh Afshar¹

¹Nikookari Eye Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Seminars in ophthalmology

|December 13, 2023

概括

人工智能 (AI) 增强了多发性硬化症 (MS) 诊断和进展预测的光学连贯性断层扫描 (OCT) 分析. 人工智能算法提高了检测多发性硬化症视网膜变化的准确性,有助于个性化治疗和患者护理.

关键词:

人工智能的人工智能是人工智能.多发性硬化症多发性硬化症神经网络的神经网络的神经网络视网膜视网膜视网膜是一个视网膜成像视网膜成像审查审查审查审查审查审查

更多相关视频

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

相关实验视频

Last Updated: Jul 8, 2025

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

科学领域:

神经科学是一个神经科学.
眼科医生眼科眼科
医疗成像医学成像

背景情况:

多发性硬化症 (MS) 是一种中枢神经系统自身免疫性疾病,具有炎症性,脱髓性和神经退行性组成部分.
视网膜成像,特别是光学连贯性断层扫描 (OCT),对于评估MS相关的视网膜损伤至关重要.
人工智能 (AI) 整合显示出在国家/地区进行先进的OCT分析的潜力.

研究的目的:

审查当前关于人工智能的研究,包括机器学习 (ML) 和深度学习 (DL),与国家/地区的OCT集成.
检查AI在MS诊断,疾病进展监测和患者护理中的作用.
讨论AI在MS OCT分析中的进展,挑战和伦理考虑.

主要方法:

对应用到多发性硬化症中OCT成像的AI算法 (ML/DL) 的当前研究研究的综述.
分析AI在检测,分类和细分MS相关的视网膜异常方面的能力.
评估AI在预测MS疾病进展中的预后价值,使用纵向OCT数据.

主要成果:

在OCT扫描上,AI算法在检测和分类与MS相关的视网膜异常方面表现出高准确度.
人工智能增强了OCT图像细分,简化了诊断和减少了人为错误.
人工智能驱动的预后模型可以预测多发性硬化症的进展,从而使早期干预和个性化治疗成为可能.

结论:

人工智能与OCT的整合大大促进了MS的诊断,监测和个性化治疗规划.
人工智能工具为管理MS提供了更高的效率,准确性和预后能力.
未来的方向包括开发人工智能驱动的查工具,并支持MS护理中的临床决策.