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盾牌,战略健康倡议,以有效预防疾病
Celia Martín Cubillo1, Inmaculada Luengo López2, Lubna Dani Ben Abdellah3
1Information Technology Service, La Paz University Hospital.
Studies in health technology and informatics
|August 8, 2025
概括
盾牌项目使用人工智能和多式联络数据来改善心血管疾病 (CVD) 和糖尿病预防. 这种方法旨在个性化患者护理,并为健康政策提供信息,以更好地管理非传染性疾病.
科学领域:
- 公共卫生 公共卫生
- 人工智能在医学中的应用
- 心血管疾病研究研究
背景情况:
- 心血管疾病 (CVD) 和糖尿病是全球主要的非传染性疾病.
- 目前的预防和管理策略需要增强,个性化的方法.
- 多模式数据集成和人工智能为改善医疗保健结果提供了潜力.
研究的目的:
- 开发和验证一个创新的,人工智能驱动的系统 (SHIELD),以加强心血管疾病和糖尿病的预防和管理.
- 为患者创建个性化的风险分层工具和护理计划.
- 为全民预防非传染性疾病提供基于证据的健康政策信息.
主要方法:
- 从各种医疗保健利益相关方收集多式联络数据.
- 开发人工智能算法,用于风险分层和个性化护理规划.
- 在西班牙,意大利和瑞士进行临床试验,以验证SHIELD工具的有效性.
主要成果:
- 盾牌项目正在开发个性化的风险分层工具和护理计划.
- 目前正在进行临床试验,以验证人工智能驱动方法的有效性.
- 预期的结果包括改善患者赋权和健康结果.
结论:
- "盾牌"项目展示了一种新的,综合的方法来应对心血管疾病和糖尿病.
- 个性化,人工智能驱动的干预措施有望改善非传染性疾病的预防和管理.
- 调查结果将有助于基于证据的健康政策,以获得更广泛的公共卫生影响.
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