通讯作者: 冯贺霞, fenghexia2008@163.com

DOI：10.12201/bmr.202501.00067

Innovative Applications, Risk Challenges, and Governance Countermeasures of Artificial Intelligence in the Healthcare Industry

• 摘要：本文重点分析了人工智能在卫生服务、医疗服务、健康管理与药物研发等多个领域的创新应用。同时,分析了人工智能在医疗健康领域应用中面临的数据隐私与安全、算法偏差、法律与监管问题、技术可靠性、伦理挑战等风险挑战。并从建立全方位的数据保护体系,提升技术可靠性与公平性,构建全球协同的多层次监管框架,制定数据标准与规范、释放数据要素价值,促进技术与人文关怀的平衡等方面提出治理对策,旨在为充分发挥人工智能的技术优势,释放医疗健康数据价值,促进医疗健康事业和产业高质量发展提供参考依据。

  关键词： 人工智能; 医疗健康; 数字健康; 治理对策

   

  Abstract: This study provides a comprehensive examination of the innovative applications of artificial intelligence (AI) within the healthcare sector, encompassing areas such as health services, medical diagnostics, health management, and pharmaceutical development,. It further explores the multifaceted risk challenges posed by AI in healthcare, including issues related to data privacy and security, algorithmic bias, legal and regulatory constraints, technical reliability, and ethical dilemmas. To address these identified challenges, this paper proposes a series of governance countermeasures, which include establishing robust data protection frameworks, enhancing the technical reliability and fairness of AI systems, developing a globally coordinated multi-level regulatory structure, formulating standardized data protocols, unlocking the latent potential of healthcare data, and fostering a harmonious balance between technological innovation and humanistic care. These measures aim to maximize the potential benefits of AI technologies, realize the inherent value of healthcare data, and promote the sustainable, high-quality development of the healthcare industry.

  Key words: artificial; intelligence, healthcare, digital; health, governance; countermeasures

  提交时间：2025-01-22

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2025-01-03	bmr.202501.00067V1	下载

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