年轻女性贫血:决定因素和基于人工智能的管理方法
Guttapalam Sireesha1, D Madhavi1, A M Beulah1
1Sri Padmavati Mahila Visvavidyalayam, Tirupati, India.
Frontiers in artificial intelligence
|March 9, 2026
概括
由于各种因素,贫血影响全球许多年轻女性. 人工智能 (AI) 为查,个性化治疗和公共卫生监测提供了有希望的干预措施,以对抗这种普遍的疾病.
科学领域:
- 公共卫生 公共卫生
- 生物医学信息学 生物医学信息学
- 营养科学 营养科学
背景情况:
- 贫血是一个关键的全球健康问题,不成比例地影响着全世界的年轻女性.
- 营养缺乏 (铁,叶酸) 是主要的原因,但环境,遗传和社会经济因素也有很大影响.
- 减少贫血患病率的缓慢进展凸显了对创新解决方案的需求.
研究的目的:
- 审查年轻女性贫血的多因素原因.
- 探索基于人工智能 (AI) 的干预措施在贫血管理中的潜力.
- 讨论人工智能对公共卫生监测和个性化治疗的影响.
主要方法:
- 文献综述,重点关注年轻女性贫血的原因.
- 对医疗保健当前和潜在的人工智能应用的分析.
- 检查AI在查,风险评估和个性化营养咨询方面的作用.
主要成果:
- 人工智能可以提高贫血治疗和管理的可访问性和个性化.
- 人工智能工具显示出改善查,风险分层和公共卫生监测的潜力.
- 负责任的AI实施需要解决数据质量,伦理考虑和算法偏见.
结论:
- 人工智能提供了一个变革性的机会,可以彻底改变年轻女性的贫血管理.
- 通过负责任的人工智能集成,可以实现个性化,公平和有效的健康结果.
- 使用人工智能解决多因素原因可以显著改善贫血的全球公共卫生结果.
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