人工智能能降低全球突然心脏病死亡率吗? 一个叙事审查
Raja Savanth Reddy Chityala1, Sandhya Bishwakarma2, Kaival Malav Shah3
1Kamineni Institute of Medical Sciences (KNR University Health Sciences) Narketpally, India.
Journal of electrocardiology
|January 25, 2025
概括
人工智能 (AI) 在预测突然心脏骤停 (SCA) 方面表现有希望,以提高生存率. 需要进一步的研究来优化AI模型用于SCA预防的临床应用.
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:
- 突然心脏骤停 (SCA) 是全球死亡的一个重要原因.
- 目前SCA的生存率仍然很低,这强调了需要改进预测和预防策略的需要.
- 世界卫生组织 (WHO) 根据与症状发作或对个体的观察相对的时间框架来定义突然心脏死亡 (SCD).
研究的目的:
- 审查人工智能 (AI) 在预测和预防突然心脏骤停 (SCA) 的当前应用.
- 探索人工智能,机器学习 (ML) 和深度学习 (DL) 在识别有SCA风险的个体方面的潜力.
主要方法:
- 使用PubMed和Web of Science数据库进行了文献搜索.
- 如果研究重点是预测和预防突然心脏病死亡,并利用人工智能,机器学习或深度学习技术,则将研究纳入.
主要成果:
- AI,ML和DL在SCA中显示出风险分层的巨大潜力.
- 这些技术可以帮助识别患有SCA风险较高的个体.
- 目前的人工智能模型需要进一步开发和验证,以便在临床上广泛使用.
结论:
- 通过增强风险分层,AI,ML和DL为改善SCA生存率提供了有希望的途径.
- 进一步的研究是必不可少的,专注于可解释的人工智能,更大和多样化的数据集,外部验证,多式联络方法和道德考虑.
- 解决偏见和确保强大的测试是充分实现AI在SCA预防中的潜力的关键步骤.
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