中国医疗人工智能应用评估与监管

Q2 Medicine
Mao You , Yue Xiao , Han Yao , Xue-Qing Tian , Li-Wei Shi , Ying-Peng Qiu
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引用次数: 0

摘要

在全球数字经济浪潮中,中国医疗人工智能应用在技术创新和政策支持下快速发展,同时面临多方面的评估和监管挑战。算法的动态演化破坏了评价标准的一致性,多模态系统缺乏统一的评价指标,数据共享与隐私保护之间存在冲突。为了解决这些问题,中国国家卫生发展研究中心建立了人工智能医疗技术价值评估框架,制定了国家首个临床评估技术指南,并通过基于场景的试点研究验证了其实用性。此外,本文建议引入“监管沙盒”模型来测试受控环境中的技术遵从性,从而平衡创新激励与风险治理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and Regulation of Medical Artificial Intelligence Applications in China
Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a “regulatory sandbox” model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
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来源期刊
Chinese Medical Sciences Journal
Chinese Medical Sciences Journal Medicine-Medicine (all)
CiteScore
2.40
自引率
0.00%
发文量
1275
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