基于人工智能的算法改善了对AAA患者的护理
Valentyna Kostiuk1, Paula Pinto Rodriguez2, Sarah A Loh2
1Yale School of Medicine, New Haven, CT.
Annals of vascular surgery
|October 8, 2025
概括
人工智能 (AI) 通过增加患者评估和随访,显著改善了腹腔大动脉动脉瘤 (AAA) 护理. 这种人工智能工具增强了AAA的检测和监测,从而改善了患者的治疗结果.
科学领域:
- 医学成像分析 医学成像分析
- 医疗保健中的人工智能
- 血管外科 血管外科
背景情况:
- 及时检测和监测腹腔大动脉动脉瘤 (AAA) 对于预防破裂和降低死亡率至关重要.
- 人工智能 (AI) 算法可以从成像和放射学报告中自动检测AAA.
- 本研究评估了人工智能对AAA检测和护理的影响,与标准护理相比.
研究的目的:
- 检查AI利用对AAA检测和患者护理的影响.
- 将人工智能辅助的AAA护理与历史的护理标准进行比较.
- 评估AI对AAA评估和治疗时间表的影响.
主要方法:
- 部署了一个基于AI的AAA检测和测量算法,为AAA≥5厘米提供通知.
- 建立了一个工作流程,以便及时转诊和评估检测到AAA的患者.
- 进行了AI前和AI后组比较,分析了患者的特征,评估时间表和随访护理.
主要成果:
- 更多的患者接受了AI实施后的初始AAA评估 (42%对18%,P<0.001).
- 在AI后的组显示了一个趋势,比较短的评估时间表 (22天对83天,P = 0.1).
- 在AI后的组中,长期随访护理显著增加 (45%对30%,P=0.004),99%的人有计划的监测预约.
结论:
- 人工智能辅助的协议显著增加了最初的AAA评估和长期跟进.
- 人工智能实施与初始AAA评估的时间表减少有关.
- 对于测量≥5厘米的AAA,AI缩短了从检测到修复的时间.
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