人工智能支持检测内大血管封闭:一年的前性评估
K G van Leeuwen1, M J Becks1, D Grob1
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands.
Heliyon
|August 28, 2023
概括
这项研究评估了一种AI工具,用于检测CT血管造影 (CTA) 上的大血管封闭 (LVO). 虽然用户友好,但它的现实世界使用量下降,这表明在持续的临床整合方面存在挑战.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 放射性AI工具的现实世界性能被低估了.
- 人工智能软件越来越多地用于帮助检测CT血管学 (CTA) 上的内大血管封闭 (LVO).
研究的目的:
- 为了在未来一年内对AI软件工具对CTA的LVO检测进行前性评估,对AI软件工具在现实世界中的性能和临床实用性进行评估.
- 在临床环境中评估使用人工智能工具的用户体验和诊断信心.
主要方法:
- 一年内对CTA上LVO检测AI软件的前性评估.
- 分析定量数据 (用户日志,AI性能) 和定性数据 (用户调查).
- 包括来自460名患者的491项CTA研究.
主要成果:
- 人工智能工具在LVO检测和定位方面实现了87.6%的整体准确性 (灵敏度69.1%,特异性91.2%).
- 检测率因闭塞类型而异:M1的检测率为91%,M2的检测率为50%,ICA的检测率为67%.
- 报告了用户友好性,但诊断信心保持不变,人工智能工具使用率呈下降趋势,56%的净促销者得分.
结论:
- 一种务实的评估方法有效监测了人工智能工具的使用和感知价值.
- 基于真实世界的性能数据,可以对AI工具的继续使用做出明智的决定.
- 人工智能工具的持续临床整合需要持续评估使用趋势和用户反.
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