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人工智能:其在个性化公共卫生策略和遗传数据分析中的潜力:叙事审查
1Vocational School of Health Services, Sinop University, Sinop, Turkey.
Personalized medicine
|April 22, 2025
概括
人工智能 (AI) 通过改善疾病预测和遗传分析来增强个性化的公共卫生. 这种整合提供了先进的,个性化的医疗保健解决方案,并优化了全球公共卫生战略.
科学领域:
- 公共卫生 公共卫生
- 遗传学 是一个遗传学.
- 人工智能的人工智能
背景情况:
- 人工智能通过对公共卫生和遗传数据进行复杂分析,显著提升了医疗保健.
- 应用包括疾病传播预测,风险因素评估和公共卫生资源优化.
- 人工智能有助于识别遗传疾病风险,分析突变和个性化治疗计划.
研究的目的:
- 综合评估由人工智能驱动的个性化公共卫生战略.
- 检查AI在疾病预测,管理和遗传数据分析中的作用.
- 审查人工智能和个性化公共卫生之间的相互作用,包括道德和法律方面的考虑.
主要方法:
- 对近期关于人工智能在公共卫生和遗传学方面的文献进行结构化审查.
- 包括人工智能在预防医学中的具体应用例子.
- 分析与医疗保健中的AI相关的伦理和法律责任.
主要成果:
- 人工智能在预测疾病传播和个体风险因素方面显示出巨大的潜力.
- 人工智能通过遗传数据分析促进个性化治疗计划.
- 该审查强调了AI优化公共卫生资源管理的能力.
结论:
- 将人工智能整合到公共卫生和遗传学中,为推进人类健康提供了机会.
- 人工智能为公平,有效和个性化的全球医疗保健解决方案铺平了道路.
- 伦理和法律考虑对于在个性化公共卫生中负责任地实施人工智能至关重要.
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