人工智能临床决策支持工具对皮肤冠状动脉干预后并发症的影响
Karley B Fischer1, Damian N Valencia2, Ananya Reddy3
1Department of Internal Medicine, Kettering Health Main Campus, Kettering, Ohio.
概括
人工智能工具显著减少了对比引起的急性损伤和心脏手术后的出血. 人工智能还减少了患者的住院时间,改善了结果并降低了成本.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學.
- 人工智能的人工智能
背景情况:
- 穿皮冠状动脉干预 (PCI) 带有对比引起的急性损伤 (CI-AKI) 和出血的风险.
- 这些并发症增加了不良结果,停留时间 (LOS) 和医疗保健费用.
- 人工智能模型可以对患者PCI并发症的风险进行分层.
研究的目的:
- 评估AI临床决策支持工具对CI-AKI和PCI后出血事件的影响.
- 评估AI对PCI后患者停留时间 (LOS) 的影响.
主要方法:
- 从2023年4月到2024年3月接受PCI的642名患者的回顾性评估.
- 利用ePRISM人工智能工具进行患者风险评估和对比度量建议.
- 分析了CI-AKI,出血事件和LOS的发生率.
主要成果:
- CI-AKI发生率从10%降至2.18% (P < .0001).
- 出血并发症从每月2.15个事件减少到1.54个事件.
- 平均LOS从3.44日降至1.79天.
结论:
- 人工智能临床决策支持工具在临床实践中是有效的.
- 在PCI患者中,ePRISM成功降低了CI-AKI,出血和LOS.
- 人工智能集成可以显著改善患者的治疗结果和资源利用.
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