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相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

745
Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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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...
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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

669
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...
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相关实验视频

Updated: Sep 10, 2025

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
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两种机器学习模型以节省眼查程序:基于神经网络的方法

Wolfgang Hitzl1,2, Markus Lenzhofer1,2, Melchior Hohensinn1,2

  • 1Department of Ophthalmology and Optometry, Paracelsus Medical University, University Hospital Salzburg, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.

Journal of personalized medicine
|August 27, 2025
PubMed
概括

这项研究开发了神经网络模型,以确定可以安全地跳过多达10年的青光眼查的患者. 模型准确预测了100%的病例,排除了43%的个人从常规查中.

关键词:
青光眼机器学习神经网络预测情况进行查

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科学领域:

  • 眼科 眼科
  • 人工智能
  • 医疗诊断

背景情况:

  • 眼查程序通常会发现许多不需要干预的患者.
  • 很大一部分患者在10年内没有接受开角青光眼 (OAG) 或眼内压力降低疗法.
  • 需要在初次检查时确定可以安全地排除在常规查之外的患者.

研究的目的:

  • 开发和验证预测模型,以识别没有OAG且不需要降血压治疗的个体.
  • 根据初步检查数据,评估安全地排除部分患者从青光眼查计划中.

主要方法:

  • 在接受眼科检查的6889名受试者的数据上训练和测试了两个神经网络模型.
  • 在模型中包含一个拒绝选项来处理不确定的预测.
  • 使用客观的视神经头部和定量磁盘测量.

主要成果:

  • 第一个模型对100%的病例 (253/253) 进行了正确的预测,没有OAG和IOP降压治疗,预测在57%的病例中被拒绝.
  • 第二个模型对100%的病例 (271/271) 进行了正确的预测,预测在46.4%的病例中被拒绝.
  • 两种模型都没有做出错误的负或错误的正预测.

结论:

  • 大约43%的眼睛可以在长达10年的时间内被安全地排除在查之外.
  • 开发的模型大大减少了眼科医生的查工作量.
  • 预测模型的未来进步可以进一步提高玻璃眼查的效率和成本效益.