人工智能在公共卫生中的优缺点和局限性
1University of West Attica, Athens, Greece.
Studies in health technology and informatics
|May 17, 2025
概括
人工智能 (AI) 在公共卫生 (PH) 中为疾病监测和患者护理提供了显著的好处. 然而,道德考虑和需要欧盟人工智能法案等监管框架对于安全和负责任的人工智能实施至关重要.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地成为医疗保健的组成部分,增强诊断,治疗和医疗系统管理.
- 人工智能在公共卫生领域的应用包括疾病监测,个性化患者护理和危机管理,特别是在COVID-19大流行期间.
研究的目的:
- 探索人工智能在公共卫生中的多方面的作用.
- 检查在公共卫生中采用人工智能的好处,挑战和伦理考虑.
- 突出监管框架的重要性,例如欧盟人工智能法案,用于医疗保健中的人工智能.
主要方法:
- 系统的文献审查.
- 在公共卫生中确定关键的人工智能应用.
- 对优势,风险和伦理影响的分析.
主要成果:
- 人工智能在公共卫生领域展示了变革性的潜力,从疾病监测到个性化医疗.
- 关键的挑战包括AI驱动的医疗保健决策中的准确性,偏见,道德困境和安全问题.
- 欧盟人工智能法将公共卫生人工智能归类为高风险,要求严格监督透明度,问责制和权利保护.
结论:
- 负责和道德的人工智能在公共卫生部署需要强大的监管框架,如欧盟的人工智能法案.
- 确保透明度,问责制和个人权利对于培养对人工智能医疗应用的信任至关重要.
- 进一步的研究对于解决人工智能对医疗保健劳动力动力学和公平获取的影响至关重要.
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