糖尿病护理中的人工智能:从预测分析到生成人工智能以及实施挑战
Mengqi Deng1, Ruiye Yang1, Xiaoran Zheng2
1Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
Frontiers in endocrinology
|December 5, 2025
概括
生成型人工智能 (GenAI) 在公共卫生领域提供了变革性的潜力,但需要一个三维的治理框架,平衡技术,机构和伦理方面的考虑,以获得公平的结果.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 人工智能在医学中的应用
- 卫生治理 卫生治理
背景情况:
- 生成型人工智能 (GenAI) 在公共卫生中越来越多地用于疾病监测,资源分配和临床决策.
- 目前以效率为导向的干预措施突出了算法公平性,快速创新和监管差距之间的系统冲突.
- 跨境数据流挑战了当地的伦理价值观,需要新的治理方法.
研究的目的:
- 为GenAI在公共卫生和医学领域提出一个三维的治理结构.
- 解决技术效率和道德考虑之间的内在矛盾.
- 引导人工智能在医疗保健中的负责任开发和部署.
主要方法:
- 一个包含技术,机构和道德领域的三维治理框架.
- 探索以技术为中心的解决方案,如可解释性和文化意识的设计.
- 审查机构战略,包括保护隐私的平台和基于风险的监管.
- 考虑道德原则,例如纳入当地价值观和公平的AI股息分配.
主要成果:
- 技术解决方案可以提高透明度和文化敏感性.
- 机构框架可以通过隐私和监管平衡创新与问责制.
- 伦理考虑通过整合当地价值观来促进公平的健康结果.
- 持续的挑战包括算法偏见,数据帝国主义和医疗AI的不透明性.
结论:
- 整合技术,机构和伦理层面的平衡方法对于在医疗保健中信任的人工智能生态系统至关重要.
- 未来的优先事项包括开发全面的测量工具,跨国治理和参与式设计.
- 利用人工智能实现以人为中心的医疗保健需要公平,可访问性,社会响应性和正义.
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