探索人工智能和增强现实在心血管疾病管理中的潜力:叙述性审查
Aadil Mahmood Khan1, Arlette Villalobos2, Akhil Dhanjibhai Kakadiya3
1OSF Saint Francis Medical Centre, Peoria, Illinois, USA.
Current cardiology reviews
|January 9, 2026
概括
人工智能 (AI) 和增强现实 (AR) 在心血管疾病管理中显示出有前途的风险预测和图像分析. 然而,需要进行大规模试验来确认这些先进技术的有效性和安全性.
科学领域:
- 心血管医学 心血管医学
- 医疗技术 医疗技术 医学技术
- 医疗信息学 医疗信息学
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因,需要个性化治疗策略.
- 人工智能 (AI) 和增强现实 (AR) 是新兴技术,正在改变心血管医学和手术.
- 人工智能模型,包括机器学习和深度学习,对于患者风险预测,生存分析和风险分层至关重要.
研究的目的:
- 审查人工智能和AR在心血管疾病管理中的当前应用.
- 突出这些技术在改善诊断成像和风险预测方面的潜力.
- 确定当前研究中的差距,并建议未来的方向.
主要方法:
- 在PubMed和谷歌学者 (2003-2024) 上进行了全面的文献搜索.
- 关键词包括"心血管疾病"",人工智能"",增强现实"",诊断成像"和"风险预测".
- 研究是根据临床相关性,标题/摘要评论和全文评估进行选择的.
主要成果:
- 人工智能和AR越来越多地用于心血管疾病管理,增强图像解释和文档.
- 像卷积神经网络 (CNN) 和自然语言处理 (NLP) 这样的技术可以改善图像分析.
- 尽管有前途的应用,但缺乏严格的评估需要进一步的大规模试验.
结论:
- 人工智能和AR为个性化心血管护理和改善患者治疗结果提供了巨大的潜力.
- 进一步的研究和大规模的临床试验对于验证AI/AR模型的有效性和安全性至关重要.
- 本综述提供了关于人工智能和AR用于心脏病学的最新进展和未来研究机会的见解.
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