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

Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

498
In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
498
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

584
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
584

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

A pragmatic risk-stratified framework for using large language models in intensive care medicine: A narrative review.

Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine·2026
Same author

A new first line choice? Has clopidogrel superseded aspirin for secondary prevention following selected minor ischaemic strokes?

Internal medicine journal·2026
Same author

Contrast-Enhanced Ultrasound in Posterior Segment Disease: A Narrative and Pictorial Review.

Seminars in ophthalmology·2026
Same author

The relationship between time to urgent or emergency pacemaker implantation and entry into residential aged care or death in older adults.

Aging clinical and experimental research·2026
Same author

Aortocoronary Versus Composite Grafting Strategies in Coronary Artery Bypass Surgery: a Network Meta-analysis.

The Canadian journal of cardiology·2026
Same author

Anticoagulation associated intracerebral haemorrhage trends, treatment and outcomes in a metropolitan cohort: analysed by availability of specific versus non-specific reversal agents.

BMJ neurology open·2026
Same journal

Retraction Statement.

Ophthalmic research·2026
Same journal

Correlations between Clinical Activity Score and Serological and Radiological Data in Treatment-naïve Ethnic Han Chinese Thyroid Eye Disease.

Ophthalmic research·2026
Same journal

Stem Cell Based Interventions for Retinal Ganglion Cell Protection and Regeneration in Glaucoma: A Review of Current Evidence and Future Directions.

Ophthalmic research·2026
Same journal

Eye-Tracking Reading Patterns as Correlates of Clinical Measures in Glaucoma.

Ophthalmic research·2026
Same journal

A Matching-Adjusted Comparison of Faricimab and Aflibercept 8 mg in Neovascular Age-Related Macular Degeneration and Diabetic Macular Edema.

Ophthalmic research·2026
Same journal

Ab Externo Continuous Pressure Technique for Descemet Membrane Endothelial Keratoplasty in Vitrectomized Eyes.

Ophthalmic research·2026
查看所有相关文章

相关实验视频

Updated: Jul 29, 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

眼科手术操作笔记编码使用开源机器学习和自然语言处理.

Yong Min Lee1,2, Stephen Bacchi1,2, Carmelo Macri1,2

  • 1Royal Adelaide Hospital, Adelaide, South Australia, Australia.

Ophthalmic research
|May 26, 2023
PubMed
概括
此摘要是机器生成的。

自然语言处理 (NLP) 模型准确地对眼科操作笔记进行程序编码进行分类. 这项技术提高了准确性,降低了医疗保健提供者的负担,提高了补偿和支持医学研究.

关键词:
电子医疗记录电子医疗记录机器学习 机器学习自然语言处理自然语言处理.操作说明 操作说明程序编码 程序编码

更多相关视频

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

相关实验视频

Last Updated: Jul 29, 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
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

科学领域:

  • 医疗信息学医学信息学
  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 眼科编码 眼科编码

背景情况:

  • 准确的程序编码对于医疗法律,学术和医疗保健中的经济原因至关重要.
  • 眼科手术笔记是专门的,这使得手动编码耗时且具有挑战性.
  • 目前眼科的程序编码准确性低于最佳,影响了报销和数据完整性.

研究的目的:

  • 开发和评估自然语言处理 (NLP) 模型用于眼科手术操作笔记的自动程序编码.
  • 与手动编码过程相比,评估NLP模型的准确性和效率.
  • 确定自动编码对医疗保健提供者退款的潜在影响.

主要方法:

  • 两家医院1000份眼科手术笔记的回顾性分析.
  • 机器学习模型的开发和比较,包括XGBoost,决策树,BERT和物流回归.
  • 应用多标签和二进制分类实验来分配医疗保险福利表 (MBS) 代码.

主要成果:

  • 变压器双向编码器表示 (BERT) 模型在多标签分类中实现了最高准确率 (88.0%).
  • 手动编码准确率为53.9%,而BERT模型显示了显著的改进.
  • 机器学习算法产生了184,689.45美元的退款,相比之下,黄金标准下的214,527.50美元.

结论:

  • 通过NLP技术,可以准确地为MBS编码分类眼科手术笔记.
  • 使用NLP进行初始选的综合人机方法可以提高编码的准确性.
  • 通过NLP准确的程序编码可以提高医疗保健提供者的报销,数据记录和研究能力.