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人工智能干预在心脏病学的未来人类验证:一个范围审查
Amirhossein Moosavi1,2, Steven Huang2, Maryam Vahabi1,2
1Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada.
JACC. Advances
|October 7, 2024
概括
人工智能 (AI) 在心脏病学方面表现有前途,经常与人类专家在特定任务中的表现相匹配. 需要进一步验证,特别是在现实世界中,以充分整合AI到心血管护理.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在临床实践中的整合受到阻碍,因为与人类专家相比,其有效性的证据有限.
- 在心血管保健中对人工智能的现实世界的验证与黄金标准相比很少.
研究的目的:
- 确定对人类专家或黄金标准进行前性验证的心脏病学AI干预措施.
- 评估这些人工智能干预措施的有效性.
- 确定人工智能在心脏病学中的未来研究方向.
主要方法:
- 对Scopus和MEDLINE数据库进行系统审查.
- 包括2015年1月至2023年12月的同行评审出版物.
- 专注于研究与潜在的人类验证AI的心脏病学.
主要成果:
- 包括64项研究,92.2%的研究是在2020年之后发表的.
- 在68.75%的研究中,人工智能干预报告了比人类专家的改善.
- 常见的应用包括成像,射出分数,心律失常和冠状动脉疾病,主要使用卷积神经网络和图像数据.
结论:
- 人工智能在心脏病学中表现出潜力,经常与人类专家在定义任务中的表现相匹配.
- 有限数量的随机对照试验突出显示了持续验证的必要性.
- 进一步的研究应侧重于现实世界的环境和联合的人类-AI决策.
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