关于人工智能应用于拉丁美洲心血管疾病管理的审查
概括
人工智能 (AI) 为拉丁美洲的心血管疾病 (CVD) 管理提供了有希望的解决方案,尽管数据稀缺等挑战存在. 进一步的研究和合作对于广泛采用和改善患者治疗结果至关重要.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 拉丁美洲面临着独特的医疗保健挑战,包括社会经济差距和有限的资源.
- 人工智能 (AI) 在心血管疾病诊断,风险分层和治疗方面带来了潜在的进步.
研究的目的:
- 审查当前在拉丁美洲的心血管医疗保健AI的应用.
- 分析研究趋势,确定挑战,并探索在该地区采用人工智能的机会.
- 综合了拉丁美洲心血管医学中关于人工智能的22项选定的研究结果.
主要方法:
- 叙事审查方法.
- 分析了22项专注于人工智能在拉丁美洲心血管医疗保健领域的研究.
- 综合研究趋势,实施障碍和潜在收益.
主要成果:
- 对人工智能驱动的预测模型,临床决策支持和对心血管疾病的远程监测越来越感兴趣.
- 机器学习 (ML) 在改善心血管疾病诊断和预后方面表现有前途.
- 重要障碍包括数据稀缺性,互操作性问题和监管障碍,影响模型通用性.
结论:
- 人工智能有可能弥合医疗保健的差距,并加强拉丁美洲的心血管疾病管理.
- 区域特定的人工智能研究,改进数据共享和协作至关重要.
- 应对挑战可以在资源有限的环境中,在心血管健康保健和患者结果方面取得重大进展.
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