在放射学中利用人工智能来增强人口健康
Jordan Z T Sim1, K N Bhanu Prakash2, Wei Min Huang3
1Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore, Singapore.
Frontiers in medical technology
|November 29, 2023
概括
通过优化放射学工作流程,人工智能 (AI) 可以显著降低医疗保健成本. 人工智能提高了效率,改善了诊断,并扩大了获得护理的机会,特别是在预防性健康倡议中.
科学领域:
- 放射学 放射学是一门学科.
- 医疗保健管理的管理
- 人工智能的人工智能
背景情况:
- 放射学服务在医疗保健部门中占有相当大的成本.
- 需要提高生产率并实现医疗保健提供方面的成本节约.
研究的目的:
- 探索人工智能 (AI) 在优化放射学工作流程和降低医疗保健成本方面的潜力.
- 讨论AI在放射学中的预测分析,计算机视觉和自然语言处理中的应用.
- 检查人工智能在预防健康和民主化放射服务专业知识中的作用.
主要方法:
- 审查当前关于人工智能在放射学中的应用文献.
- 分析AI对生产率,成本节约和护理模式的潜在影响.
- 一个案例参考了新加坡的医疗保健系统.
主要成果:
- 人工智能通过优化吞吐量,适当的推和增强的图像分析提供了降低成本的机会.
- 计算机视觉可以提高扫描仪的效率,减少辐射暴露.
- 自然语言处理和大型语言模型可以简化报告和数据挖掘.
结论:
- 将人工智能集成到放射学工作流中可以带来显著的生产力提升和成本节省.
- 人工智能可以支持医疗保健模式的转型转变,包括预防性护理和增加对放射性服务的访问.
- 人工智能有可能使专业知识民主化并改善人口健康结果.
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