软件部署
计算机科学
钥匙(锁)
数据科学
光学(聚焦)
公司治理
叙述性评论
医疗保健
新兴技术
知识管理
透视图(图形)
过程管理
叙述的
管理科学
精密医学
转化(遗传学)
范式转换
透明度(行为)
工程伦理学
人机交互
风险分析(工程)
问责
信息和通信技术
作者
Qin Zeng,Cheng Huang,Jun Zhu
标识
DOI:10.3389/fpubh.2025.1656603
摘要
AI is a key driver of paradigm shift in precision medicine. To address existing challenges, future efforts should focus on generating more robust clinical evidence, adopting technologies like federated learning to ensure data privacy, and promoting the human-centered, collaborative framework of Symbiotic AI (SAI). By establishing sound ethical and governance structures, the deployment of AI technologies can be ensured to be not only efficient and advanced but also equitable and trustworthy, ultimately paving the way for an intelligent and inclusive healthcare ecosystem.
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