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人工智能对怀疑心力衰竭的现实世界患者手持心声回声仪的全自动分析

Ross T Campbell¹, Mark C Petrie¹, Kieran F Docherty¹

¹School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.

European journal of heart failure

|July 24, 2025

概括

人工智能 (AI) 准确地分析手持回声心脏图来诊断心力衰竭,显示与传统的基于车扫描的专家人类分析的可互换性. 这个人工智能工具简化了疑似心力衰竭的诊断.

科学领域:

心脏病学心脏病学
医疗成像医学成像
人工智能的人工智能

背景情况:

声心图对于诊断心力衰竭至关重要,但可能耗时.
自动化报告系统有可能提高工作流程的效率.

研究的目的:

评估人工智能 (AI) 在分析手持心声回声图的诊断准确性.
评估人工智能分析的手持回声心脏图的可互换性,并对疑似高频率患者的手提回声心脏图进行专家人类分析.

主要方法:

这是一项多中心前性观察性研究,涉及867名疑似高风患者.
对每位患者进行了两次心声回声图 (手持式和手推车式).
这两种扫描都由完全自动化的AI软件和由人类专家超声波分析.

主要成果:

用人工智能对手持心声回声仪的自动分析实现了0.93的诊断准确度,用于检测左心室喷射率 (LVEF) ≤40%.
手持设备上的AI自动化LVEF分析可以与基于车的专家人类分析 (IEC -0.40) 互换.
人工智能在61%的手持扫描和77%的手提扫描中产生了LVEF,与人类分析相比.

结论:

手持心声回声仪的AI自动化分析表明,用于识别降低的LVEF,诊断准确度很好.
手持扫描的AI分析可以与基于车的回声心脏图的专家人类分析互换,这表明它在现实环境中的实用性.

关键词:

人工智能的人工智能是人工智能.诊断诊断诊断诊断诊断心声回声扫描 (Echocardiography) 是一种心声回声扫描.这是一个手持式的手持式.心脏衰竭是因为心脏衰竭.护理点的护理点.

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