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相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

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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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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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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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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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相关实验视频

Updated: Jul 24, 2025

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
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用人工智能生存模型预测眼的进展到手术.

Shiqi Tao1, Rohith Ravindranath1, Sophia Y Wang1

  • 1Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, California.

Ophthalmology science
|July 7, 2023
PubMed
概括

新的人工智能 (AI) 生存模型准确地预测了青光眼的进展到手术. 深度学习和基于树的模型优于传统方法,为眼科结果提供了更好的临床决策支持.

科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 传统的人工智能 (AI) 模型用于预测青光眼的进展,并没有考虑到患者随访的纵向性质.
  • 开发准确的预测模型对于治疗青光眼的及时手术干预至关重要.

研究的目的:

  • 开发和比较基于生存的AI模型,用于预测青光眼患者进入手术的进展.
  • 评估回归,基于树的和深度学习方法在预测眼外科手术中的性能.

主要方法:

  • 一项回顾性观察性研究,使用了4512名青光眼患者的电子健康记录 (EHR).
  • 训练有素的人工智能生存模型,包括用PCA惩罚Cox比例危险 (CPH),随机生存森林 (RSF),梯度增强生存 (GBS) 和DeepSurv.
  • 使用一致性指数 (C指数) 和曲线下的平均累积/动态面积 (平均AUC) 评估模型性能.

主要成果:

  • 在DeepSurv模型中,表现最好 (C指数:0.775,平均AUC:0.802).
  • 基于树的模型 (RSF和GBS) 也表现出强的表现,超过了CPH模型.
  • 预测的累积危险曲线有效地区分了接受早期手术,晚期手术或没有手术的患者.
关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.电子健康记录是电子健康记录.眼光障碍 眼光障碍 眼光障碍 眼光障碍机器学习 机器学习

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结论:

  • 利用EHR数据的AI生存模型可以有效地预测青光眼的进展到手术.
  • 基于树的和深度学习的模型优于传统的回归模型,用于高维的玻璃眼数据.
  • 未来的研究应该专注于先进的深度学习生存模型,包括各种数据类型.