心脏病学中的人工智能:一篇讲述性评论,重点关注患者的结果
Michaella Alexandrou1, Ippokratis Konstantinidis2, Jose Manuel Orenday3
1Center for Coronary Artery Disease, Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, MN, USA.
Cardiovascular diagnosis and therapy
|March 12, 2026
概括
心脏病学中的人工智能 (AI) 是有前途的,但缺乏强有力的证据来改善患者的治疗结果. 未来的研究需要以患者为中心的试验,以解决实施差距并确保公平的AI采用.
科学领域:
- 心脏病学 心脏病学
- 医疗人工智能 医疗人工智能
- 健康 结果 研究 研究 结果
背景情况:
- 人工智能 (AI) 越来越多地融入心脏病学,增强诊断,预后和个性化治疗.
- 虽然人工智能算法表现强,但它们对以患者为中心的结果的影响需要进一步调查.
- 这篇评论批判性地检查了人工智能对心脏病患者结果的影响.
研究的目的:
- 评估人工智能应用对心脏病患者治疗结果的影响.
- 确定人工智能实施和研究当前的局限性.
- 概述人工智能在心血管医学中的未来研究方向.
主要方法:
- 在PubMed,Scopus,Embase和Cochrane数据库中进行了全面的文献搜索.
- 包括2015年1月至2025年5月期间发表的研究,重点关注人类受试者和英语语言.
- 11项研究在经过独立查和共识审查后,符合纳入标准.
主要成果:
- 人工智能工具在临床决策支持,心脏成像,远程监测和患者参与方面显示出潜力,提高了准确性和效率.
- 大多数研究报告了代孕或过程终点,对死亡率或改善生活质量等艰难临床结果的证据有限.
- 大规模的随机试验很少,与伦理,实施和成本效益相关的挑战仍然存在.
结论:
- 人工智能在推进心血管保健方面显示出重大前景.
- 强有力的证据将人工智能采用与改善以患者为中心的临床结果联系在一起仍然有限.
- 未来的研究必须优先考虑对患者结果的前性试验,解决实施障碍,透明度和公平性.
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