卫生和医学的人工智能:进展,挑战和建议
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
China CDC weekly
|October 16, 2025
概括
医学中的人工智能 (AI) 提供了好处,但面临着技术和道德上的障碍. 解决数据质量,多样性和监管框架对于人工智能工具的广泛临床采用至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 卫生技术评估 卫生技术评估
- 计算医学是一种计算医学.
背景情况:
- 人工智能 (AI) 正在改变医疗保健,影响临床医生,患者和卫生系统.
- 重要的技术,监管和道德挑战阻碍了医疗AI的广泛临床采用.
研究的目的:
- 概述医疗人工智能实施中的关键挑战.
- 为克服在医疗保健中采用人工智能的技术和道德障碍提出解决方案.
主要方法:
- 审查人工智能开发和部署当前的技术挑战.
- 分析医疗AI的伦理考虑和监管缺口.
- 对解决人工智能采用障碍的专家观点进行综合.
主要成果:
- 技术挑战包括数据稀缺,数据集质量以及超越监督学习的先进人工智能技术的需求.
- 伦理挑战涉及数据安全,算法公平性以及人工智能与人类临床专业知识的整合.
- 建议的解决方案包括高质量,多样化的数据集,混合人-人工智能方法,安全的数据平台和强有力的政府立法.
结论:
- 克服数据,方法,伦理和监管方面的挑战对于成功的医疗AI集成至关重要.
- 结合技术创新和道德治理的多方面的方法将促进AI的临床实用性.
- 战略开发和实施是实现人工智能在医疗保健中的全部潜力的关键.
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