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意大利心脏病学会关于人工智能的专家共识文件

Ciro Indolfi¹, Piergiuseppe Agostoni², Francesco Barillà³

¹Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende.

Journal of cardiovascular medicine (Hagerstown, Md.)

|May 7, 2025

概括

人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),增强了心血管疾病诊断和患者管理. 虽然人工智能显示出前景,但确保算法有效性和可解释性对于安全和公平的医疗保健进步至关重要.

科学领域:

心脏病学心脏病学
计算机科学计算机科学
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 越来越多地应用于医疗保健,特别是患者管理.
机器学习 (ML) 和深度学习 (DL) 是关键的人工智能子集,在心血管疾病中已经证明了应用.
人工智能增强了使用医院记录,心电图和心声回声图等各种数据源的诊断和预后能力.

研究的目的:

探索AI,ML和DL在心血管疾病管理中的应用.
突出AI在提高诊断准确性和患者分层方面的作用.
讨论AI在临床实践中的潜力和挑战.

主要方法:

对心血管医学中AI,ML和DL应用的审查.
分析人工智能在诊断和预测各种心脏病的结果中的应用.
探索无监督的ML用于心房的患者表型.

主要成果:

人工智能模型在常见和罕见的心血管疾病中显示出强大的应用.
人工智能提高了估计诸如LDL胆固醇等心血管风险因素的准确性.
无监督的ML可以识别心房动的不同患者群体,有助于风险分层.

结论:

人工智能,ML和DL提供了通过增强的诊断和个性化管理来推进心血管保健的巨大潜力.
诸如外部有效性和"黑子"问题等挑战需要仔细考虑.
持续开发和仔细实施人工智能对于安全和公平的医疗保健进步至关重要.

关键词:

急性冠状动脉综合征是什么人工智能的人工智能是人工智能.预防心血管疾病设备设备设备设备心脏衰竭是因为心脏衰竭.远程医疗远程医疗

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