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人工智能用于个性化框架中的心血管疾病风险评估:范围审查

Manasvi Singh^1,2, Ashish Kumar², Narendra N Khanna³

¹Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, 95661, USA.

EClinicalMedicine

|June 7, 2024

概括

人工智能 (AI) 通过分析遗传数据,帮助精准医学预测心血管疾病 (CVD). 这篇评论强调了人工智能.

科学领域:

医疗保健中的精准医学和人工智能 (AI).
心血管疾病 (CVD) 风险预测和个性化治疗.
用于疾病管理的基因组数据分析.

背景情况:

精准医学旨在使用多维生物数据来个性化医疗保健.
人工智能,包括机器学习 (ML) 和深度学习 (DL),在预测癌症和心血管疾病等疾病方面表现有前途.
整合遗传,功能和环境数据是个性化健康策略的关键.

研究的目的:

对AI在心血管疾病 (CVD) 精准医学中的应用进行全面的范围审查.
在心血管疾病,人工智能和个性化医学的交叉点识别和综合科学发现.
探索AI在提高心血管疾病诊断,风险预测和治疗策略方面的潜力.

主要方法:

根据PRISMA框架进行了范围审查.
在主要的学术数据库 (如PubMed,IEEE Xplore) 和互联网搜索引擎中搜索CVD和AI的组合关键词.
文献搜索于2023年8月,2024年1月进行,并于2024年3月更新,并进行参考列表审查.

主要成果:

在对2307个初始记录进行严格选后,121项研究被纳入了定性综合.
人工智能擅长从复杂的遗传数据集中提取复杂的模式,用于准确的CVD诊断和风险预测.
人工智能和基因组学的整合使得基于个体遗传资料的精确预测模型和个性化治疗计划成为可能.

结论:

人工智能算法表现出显著的适应性,其他领域 (例如瘤学) 的策略适用于心血管问题.
人工智能和基因组学的整合彻底改变了心血管疾病风险评估,并促进了定制治疗方法的开发.
进一步的研究可以利用人工智能发现新的遗传生物标志物并优化个性化的心血管疾病管理策略.

关键词:

人工智能的人工智能是人工智能.心血管疾病的心血管疾病.深度学习是一种深度学习.个性化药物是个性化的药物.精准医学是一门精准的医学.

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