非洲心血管保健中的人工智能:机会,挑战和改善结果的途径
Boluwatife Samuel Fatokun1, Omosola Lydia Bolarin2, Ahmed Muhammad Babandi3
1Faculty of Basic Medical Sciences Kwara State University Malete Nigeria.
Public health challenges
|February 20, 2026
概括
人工智能 (AI) 可以通过改善预测和诊断来增强非洲的心血管疾病 (CVD) 护理. 克服基础设施和数据隐私挑战是实施人工智能解决方案以获得更好的健康结果的关键.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 医疗保健中的人工智能
背景情况:
- 心血管疾病 (CVD) 是非洲的主要死亡原因,每年死亡人数超过100万.
- 非洲心血管疾病患病率上升凸显了预防,诊断和管理方面的重大差距.
- 迫切需要创新解决方案,以应对非洲大陆日益增长的心血管疾病负担.
研究的目的:
- 探索人工智能 (AI) 在改善非洲心血管保健方面的变革潜力.
- 审查AI在非洲心血管健康中的机遇,挑战和实施途径.
- 评估AI在提高心血管疾病诊断准确性和患者管理方面的作用.
主要方法:
- 使用主要数据库 (PubMed/MEDLINE,Google Scholar,AJOL) 和灰色文献进行了全面的文献审查.
- 分析重点是人工智能应用,包括机器学习 (ML),预测分析和远程医疗.
- 考虑了诸如m-Health,可穿戴设备和电子健康记录等数据来源.
主要成果:
- 人工智能,特别是ML算法,在预测各种心血管疾病方面表现出高精度 (73.8%-97.7%).
- 人工智能为预测分析,增强诊断和个性化医疗 (例如GWAS) 提供了机会.
- 显著的挑战包括基础设施不足,高成本,政策差距和有限的数字素养.
结论:
- 人工智能为彻底改变心血管保健和改善非洲健康状况提供了重要机会.
- 解决数据隐私等挑战 (只有36/55个国家有数据保护法律) 对于人工智能采用至关重要.
- 有效实施需要制定伦理标准,投资培训,促进伙伴关系和加强基础设施.
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