对人工智能和大数据技术在眼科推和临床实践中的最新发展进行了回顾
Alfredo A Paredes1, Raphael G Banoub2, Gurnoor S Gill1
1Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
概括
像人工智能 (AI) 和临床决策支持系统 (CDSS) 这样的智能技术正在改变眼科. 这些工具提高了眼科转诊和实践管理的效率.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 眼科面临着越来越多的患者数量和效率需求.
- 智能技术为简化眼科护理提供了潜在的解决方案.
- 现有的智能技术需要审查,以指导将其整合到实践中.
研究的目的:
- 审查眼科中新兴智能技术的临床实用性.
- 在眼科实践中对人工智能,大数据分析和CDSS的整合提供信息.
- 评估智能技术对眼科转诊和患者管理的影响.
主要方法:
- 审查眼科当前的智能技术.
- 分析人工智能驱动的诊断工具和电子健康记录分析.
- 评估CDSS用于初级保健中眼科疾病的识别.
- 检查人工智能和大数据应用程序以优化实践.
主要成果:
- 在初级保健中,CDSS可以提高识别紧急眼科疾病的效率.
- 人工智能驱动的成像和EHR分析有助于查眼睛疾病.
- 智能技术通过优化日程安排和预约确认来增强眼科实践.
结论:
- 智能技术是眼科推和实践的实际辅助工具.
- 人工智能,大数据和CDSS的整合可以显著改善眼科护理的提供.
- 对眼科医生来说,需要进一步探索智能技术应用.
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