用AI驱动的工具来预测与肥胖相关的血管疾病:利益相关者的观点和挑战
Kaatje Goossens1, Pascal Borry1, Tessa Marie Forehand1
1Centre for Biomedical Ethics and Law, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Frontiers in public health
|December 22, 2025
概括
利益相关者对AI-POD工具的投入,用于与肥胖相关的血管疾病预测,突出了整合数据和改进的风险分层等好处. 关键的挑战包括公平的访问,数据偏差和用户参与,以成功实施.
科学领域:
- 医疗保健中的人工智能
- 心血管疾病预测预测
- 肥胖管理 肥胖管理
背景情况:
- 人工智能-POD项目旨在开发人工智能工具,用于对肥胖患者进行个性化心血管风险预测.
- 这些工具整合了临床,成像,实验室和生活方式数据.
研究的目的:
- 探索利益相关者对AI-POD工具预期的好处,担忧和挑战的观点.
- 为负责开发和实施人工智能驱动的健康创新提供信息.
主要方法:
- 与四个欧洲国家的21个不同的利益相关者进行了半结构化访谈.
- 参与者包括放射学,人工智能,信息学,饮食学,内分泌学,全科医生,患者倡导,道德,法律和公共卫生方面的专家.
- 采访被分析使用诱导性内容分析.
主要成果:
- 发现的好处包括多式联运数据集成,改善风险分层和增强患者参与.
- 担忧包括风险评分的潜在焦虑,体重耻辱,对生活方式建议的证据有限,以及公平的获取.
- 挑战包括数据异质性,算法偏见,技术障碍和医疗保健专业人员的采用.
结论:
- 利益相关者认识到AI-POD工具对肥胖个性化心血管风险预测的承诺.
- 关键的挑战包括确保公平的访问,持续的用户参与和无的临床整合.
- 应对这些挑战对于AI-POD工具的成功采用和普及至关重要.
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