心血管健康中的人工智能:对COVID后公共卫生挑战的洞察力
Zayera Naushad1, Jaya Malik1, Abhishek Kumar Mishra1
1Department of Biotechnology and Microbiology, School of Sciences, Noida International University, GautamBudh Nagar, Uttar Pradesh, 201308, India.
概括
心血管疾病 (CVD) 是一个主要的全球健康问题,由COVID-19加剧. 人工智能 (AI) 为预测风险,诊断和管理这些疾病提供先进的解决方案,改善患者的治疗结果.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 人工智能的人工智能
背景情况:
- 心血管疾病 (CVD) 仍然是全球发病率和死亡率的主要原因.
- 糖尿病,高血压,肥胖和吸烟等危险因素加剧心血管疾病.
- COVID-19 流行病揭示了病毒感染和心血管健康之间的强烈联系,SARS-CoV-2 导致心肌损伤,内皮功能障碍和血栓形成.
研究的目的:
- 探索COVID-19对心血管健康的影响.
- 研究人工智能 (AI) 在应对心血管并发症方面的作用.
- 突出AI在心血管医学和公共卫生战略中的潜力.
主要方法:
- 审查有关COVID-19和心血管并发症的当前文献.
- 分析人工智能 (AI) 应用,包括机器学习 (ML) 和深度学习 (DL).
- 检查AI在风险预测,生物标志物发现,医学成像,远程监测和公共卫生监测中的作用.
主要成果:
- SARS-CoV-2 感染与心血管疾病结果的严重程度增加和长期COVID的持续并发症有关.
- 人工智能增强了心血管风险预测,生物标志物发现和成像分析 (心声学,CT,MRI).
- 由人工智能驱动的远程监控和决策支持系统改善了诊断,个性化治疗和健康公平.
结论:
- 持续的研究和公共卫生战略对于缓解COVID后的长期心血管风险至关重要.
- 人工智能在心血管医学和公共卫生领域的整合为管理COVID后并发症提供了数据驱动的解决方案.
- 人工智能提供了高效的,以患者为中心的方法来改善心血管健康和结果.
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