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

相关实验视频

Updated: Jul 26, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

使用深度学习的自动视网膜母细胞瘤查和监测.

Ruiheng Zhang1, Li Dong1, Ruyue Li2

  • 1Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

British journal of cancer
|June 21, 2023
PubMed
概括

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

Causal Effects of Gut Microbiota and Associated Metabolites on Retinal Diseases and Visual Impairment: A Mendelian Randomization Study.

Journal of ophthalmology·2026
Same author

Exploring the capabilities of three artificial intelligence chatbots in diagnosis and decision-making of age-related macular degeneration.

The British journal of ophthalmology·2026
Same author

Mixed infection of eyelid cyst.

Eye (London, England)·2026
Same author

Serratia marcescens infection in a meibomian cyst.

Eye (London, England)·2026
Same author

Optic nerve metastasis with secondary combined central retinal artery and vein occlusion from small cell lung cancer.

Eye (London, England)·2026
Same author

Histopathological characteristics of secondary enucleation after iodide-125 plaque radiotherapy in Chinese patients with uveal melanoma.

The British journal of ophthalmology·2026

一个深度学习算法,DLA-RB,准确地识别了儿童癌症患者的活性视网膜母细胞瘤. 这种人工智能工具有助于长期监测和后代查,为监测视网膜母细胞瘤活动提供了具有成本效益的解决方案.

科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能的人工智能
  • 儿科瘤学 儿科瘤学

背景情况:

  • 视网母细胞瘤是最常见的儿童眼内癌症.
  • 改善的生存率在长期患者监测和后代查方面带来了挑战.
  • 深度学习提供了一个潜在的解决方案,以减少后续和选的负担.

研究的目的:

  • 开发和验证用于视网膜母细胞瘤监测的深度学习算法.
  • 评估算法在区分正常,稳定和活跃视网膜母细胞瘤方面的准确性.
  • 评估基于AI的方法对视网膜母细胞瘤管理的成本效益.

主要方法:

  • 一项涉及北京通仁医院视网膜母细胞瘤患者的队列研究 (2018年3月 - 2022年6月).
  • 开发了深度学习助手用于视网母细胞瘤监测 (DLA-RB) 算法,使用36,623个 fundus图像.
  • 在139只眼睛中对DLA-RB进行前性验证,将其性能与眼科医生进行比较.

主要成果:

  • 在内部验证中,DLA-RB实现了高的曲线下面面积 (AUC) 值:正常与活跃的0.998,稳定与活跃的视网膜母细胞瘤的0.940.
  • 展望验证显示,用于识别活性视网膜母细胞瘤的AUC为0.991和0.962.

更多相关视频

Reconstruct Human Retinoblastoma In Vitro
06:52

Reconstruct Human Retinoblastoma In Vitro

Published on: October 11, 2022

1.4K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

820

相关实验视频

Last Updated: Jul 26, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K
Reconstruct Human Retinoblastoma In Vitro
06:52

Reconstruct Human Retinoblastoma In Vitro

Published on: October 11, 2022

1.4K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

820
  • 将DLA-RB与眼科医生结合起来,显著提高了诊断准确度;基于AI的模式被证明是具有成本效益的.

    • 结论:

    • DLA-RB在识别活跃视网膜母细胞瘤方面表现出高准确度和灵敏度.
    • 该算法可以有效地帮助视网膜母细胞瘤监测和高风险后代查.
    • DLA-RB为视网膜母细胞瘤诊断和监测提供了一种具有成本效益和远程医疗兼容的解决方案.