基于人工智能的眼科交互平台的临床性能:在第三级参考中心的经验
Felix Armadá-Maresca1, María Capote-Díaz1, María Del Pino Cidad-Betegón1
1Ophthalmology Department, Hospital Universitario La Paz, Madrid, Spain.
Frontiers in medicine
|August 21, 2025
概括
一个由人工智能驱动的眼科平台 (DORIA) 在现实世界的临床环境中显示出希望. 它可以通过准确评估患者需求来减少专业干预和优化医疗资源.
科学领域:
- 眼科 眼科
- 人工智能
- 医疗技术
背景情况:
- 眼科部门面临患者数量和等待列表的挑战.
- 需要有效的诊断工具来管理患者流动并优化专家的时间.
研究的目的:
- 在现实临床环境中评估交互式人工智能平台DORIA (通过人工智能进行机器人眼科诊断) 的诊断性能.
- 评估平台在第三级护理眼科部门的实用性.
主要方法:
- 一项前性,观察性,横截面研究包括2478名连续转诊眼科的患者.
- 使用DORIA平台和EyelibTM机器人扫描进行了自动眼部评估.
- 眼科医生的评估与基于DORIA的建议进行了比较.
主要成果:
- 在2,478名患者中,有46. 3%的患者根据DORIA结果获得出院或转诊.
- 35.5%的人需要专门的眼科护理.
- 视力失明和眼底检查是常见的转诊原因.
结论:
- 对于眼科等候名单的管理和医疗保健资源的优化,
- 现实世界的发现表明潜在的成本节约和改善患者管理.
- 需要进一步的研究来证实它的比较有效性.
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