巴西初级医疗保健中的人工智能:范围审查
Dany Alexandra Morales Botero1, Rafaele Bonfim2, Karina Fonseca2
1University of Sevilla. Sevilla, Andalucia, Spain.
Revista brasileira de enfermagem
|December 10, 2025
概括
人工智能 (AI) 在巴西初级医疗保健中显示出有前途的潜力,用于优化资源和早期诊断. 然而,必须解决数据获取等挑战,以确保为所有人提供公平的医疗保健.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 公共卫生 公共卫生
背景情况:
- 巴西的初级医疗保健 (PHC) 在资源分配和及时诊断方面面临挑战.
- 人工智能 (AI) 的整合为改善医疗保健提供提供了潜在的解决方案.
- 了解巴西卫生保健中心当前的人工智能应用的情况至关重要.
研究的目的:
- 系统地审查和综合AI在巴西初级卫生保健中的应用证据.
- 确定使用的AI技术类型及其在巴西医疗保健环境中的具体应用.
主要方法:
- 在2025年2月进行了全面的范围审查.
- 在六个数据库的搜索中,发现了相关的研究.
- 研究选择,数据提取和综合是由多名审查员按照严格的协议进行的.
主要成果:
- 包括27项研究,重点关注机器学习和深度学习应用.
- 人工智能被用于估计,预测,健康状况跟踪,诊断和分析全民健康覆盖的决定因素.
- 确定的主要优势包括资源优化,早期诊断,风险分层和改善访问;主要挑战涉及治疗和数据可用性.
结论:
- 人工智能应用为巴西医疗保健系统提供了显著的优势,特别是在PHC.
- 成功实施需要解决与数据可访问性相关的挑战,并确保所有公民的有效健康权.
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