人工智能驱动的决策在大动脉疾病中的血管内装置选择. 目前的见解和前景
1INVAMED Medical Innovation Institute, New York, NY, United States.
Frontiers in cardiovascular medicine
|December 8, 2025
概括
人工智能 (AI) 工具可以通过标准化测量和预测风险来增强内血管大动脉修复 (EVAR/TEVAR). 人工智能补充了当前的方法,在复杂的情况下帮助选择设备,但在常规使用之前需要进一步验证.
科学领域:
- 血管外科 血管外科
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 血管内主动脉修复 (EVAR/TEVAR) 对腹部和胸部主动脉动脉瘤和剖析至关重要.
- 复杂的解剖学在设备选择中存在挑战,原因是测量变化和解剖特征.
- 当前的规划方法可能容易出现错误,影响维修结果.
研究的目的:
- 在EVAR/TEVAR中审查人工智能 (AI) 工具,用于静脉器件选择和规划.
- 综合人工智能应用的证据,用于标准化测量和预测维修风险.
- 评估AI系统在血管干预中的临床准备和监管状况.
主要方法:
- 对人工智能工具进行自动中心线提取和3D测量进行标准化大小测量的审查.
- 分析人工智能驱动的风险模型,预测内泄漏,以指导超大尺寸和着陆区选择.
- 对增强智能和扩展现实模块进行检查,以操作化设备选择.
主要成果:
- 人工智能工具显示出标准化尺寸和减少设备选择变化的潜力.
- 风险预测模型可以为策略提供信息,以尽量减少不充分的密封和内泄漏.
- 商业和研究系统正在出现,临床准备和监管方面的评估正在进行中.
结论:
- 针对性的人工智能组件可以提高复杂的大动脉解剖学设备决策的一致性.
- 人工智能是EVAR/TEVAR规划和监督的宝贵补充.
- 为了在临床实践中常规实施AI,需要进行前性,多中心的验证.
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