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在初级保健中,人工智能辅助聚焦心脏超声波 (FOCUS) 的诊断准确性

Mihai-Sorin Iacob^1,2, Nilima Rajpal Kundnani^2,3, Abhinav Sharma^1,2

¹Doctoral School, "Victor Babes" University of Medicine and Pharmacy, 3000041 Timisoara, Romania.

Healthcare (Basel, Switzerland)

|November 13, 2025

概括

由家庭医生进行的人工智能辅助聚焦心脏超声波 (AI-FOCUS) 在检测心脏异常方面表现出高准确性. 这项技术有望改善初级保健诊断和患者分组.

科学领域:

心脏病学心脏病学
初级医疗保健医学一级医疗保健医学
医疗成像医学成像

背景情况:

聚焦心脏超声波 (FOCUS) 可以提高初级保健中的心脏检查.
然而,FOCUS依赖于运营商,这限制了其广泛采用.
人工智能 (AI) 可以克服这些局限性.

研究的目的:

评估家庭医生执行的AI辅助FOCUS (AI-FOCUS) 的诊断性能.
将AI-FOCUS与心脏病学家执行的心声回声扫描作为参考标准进行比较.

主要方法:

在初级保健机构进行前性,横截面研究.
家庭医生进行了传统的FOCUS和AI-FOCUS.
作为参考标准,心脏病学家执行的心声回声扫描是在24小时内进行的.

主要成果:

人工智能焦点实现了94.33%的准确度,89.91%的灵敏度和96.49%的特异性.
在AI-FOCUS和心脏病学家评估之间观察到很好的一致性 (κ = 0.88).
常见的发现包括膜疾病 (42%),减少LVEF<50% (28%),心周溢出 (12%).

结论:

由经过培训的家庭医生进行的AI-FOCUS显示了高的诊断准确性和与专家心声回声学的一致性.
该技术有效地检测了减少的LVEF,膜异常和心周溢出.
AI-FOCUS支持在初级保健中早期检测和分组,特别是在心脏病治疗机会有限的地方.

关键词:

人工智能的人工智能是人工智能.心血管疾病心血管疾病左心室喷射小部分 (LVEF)在护理地点进行超声波 (POCUS) 检查.策略策略策略策略

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