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

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

Preserved structural and functional stability of high-dose aflibercept after compounding into prefilled syringes.

Scientific reports·2026
Same author

Real-world outcomes after switching to faricimab in previously treated neovascular age-related macular degeneration: longitudinal outcomes up to 24 months.

International journal of retina and vitreous·2026
Same author

The Clinical Significance of Imaging Biomarkers Discoverable by Anomaly Detection Methods in Retinal Diseases: A Review.

Journal of ophthalmology·2026
Same author

Current trends in ophthalmology with an impact on medicine and society.

Wiener medizinische Wochenschrift (1946)·2025
Same author

A review of rhegmatogenous retinal detachment: past, present and future.

Wiener medizinische Wochenschrift (1946)·2025
Same author

A historical view of the development of corneal transplantation: from penetrating keratoplasty to selective transplantation of the finest corneal layers.

Wiener medizinische Wochenschrift (1946)·2025

相关实验视频

Updated: Jul 8, 2025

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

21.7K

视网膜成像中的人工智能:当前状态和未来前景

Katharina A Heger1, Sebastian M Waldstein1

  • 1Department of Ophthalmology, Landesklinikum Mistelbach-Gaenserndorf, Mistelbach, Austria.

Expert review of medical devices
|December 13, 2023
PubMed
概括

人工智能 (AI) 为视网膜学中的挑战提供了解决方案,有助于识别需要治疗的患者和规划个性化治疗. 视网膜成像中的AI有望通过支持临床医生而不是取代他们来增强眼科护理.

科学领域:

  • 眼科医生 眼科 眼科
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 全球人口正在增长和老龄化,导致视力威胁视网膜疾病的患病率增加.
  • 当前视网膜学在患者鉴定,综合查和个性化治疗规划方面面临着挑战.
  • 高质量的眼科护理需要人工智能 (AI) 等创新解决方案.

研究的目的:

  • 审查人工智能在视网膜成像中的当前和未来应用.
  • 专注于人工智能在糖尿病视网膜病变和与年龄相关的黄斑退行症中的作用.
  • 在疾病查,分级,治疗计划和结果预测中解释AI原则.

主要方法:

  • 对视网膜成像中的AI应用的文献综述.
  • 对人工智能在糖尿病视网膜病变和AMD等特定视网膜疾病中的应用进行分析.
  • 对临床应用的AI原则的解释.

主要成果:

  • 人工智能已经在视网膜成像方面取得了重大成就.
  • 人工智能的实施即将改变眼科医疗保健.
  • 人工智能支持眼科医学的个性化治疗目标.

结论:

关键词:
与年龄相关的黄斑变性 (AMD)眼科医生 眼科 眼科人工智能 (AI) 是一种人工智能.深度学习 (DL) 是指深度学习.糖尿病视网膜病变 (DR)基金会摄影基金会光学连贯性断层扫描 (OCT)视网膜成像 视网膜成像

更多相关视频

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina
09:03

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Published on: February 13, 2021

4.3K
Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro
12:56

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

Published on: December 19, 2017

7.8K

相关实验视频

Last Updated: Jul 8, 2025

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

21.7K
Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina
09:03

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Published on: February 13, 2021

4.3K
Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro
12:56

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

Published on: December 19, 2017

7.8K
  • 视网膜成像中的AI是改善眼科护理的有希望的解决方案.
  • 人工智能工具将支持临床医生,提高效率和准确性.
  • 人工智能的整合正朝着眼科医学的个性化治疗策略迈进.