美国食品和药物管理局对放射性AI算法的审查:过程和挑战
Kuan Zhang1, Bardia Khosravi1, Sanaz Vahdati1
1From the Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905.
Radiology
|January 2, 2024
概括
食品和药物管理局 (FDA) 批准的人工智能 (AI) 算法可以错误诊断疾病,这凸显了临床实践中人类监督的必要性.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 监管科学 监管科学
背景情况:
- 人工智能 (AI) 算法越来越多地用于医学诊断,包括放射学.
- 一个特定的案例揭示了FDA批准的AI算法,当患者患有缺血性中风时,误诊了内出血.
- 这一事件凸显了潜在的故障模式和人机交互的关键作用.
研究的目的:
- 审查食品和药物管理局 (FDA) 对软件作为医疗器械 (SaMD) 的监管流程.
- 检查放射性AI/机器学习算法的独特监管设计.
- 讨论人工智能工具临床实施和效率最大化方面的挑战.
主要方法:
- 对SaMD. 的FDA审查流程的摘要.
- 对放射性AI的监管框架的分析.
- 讨论临床实施的挑战.
主要成果:
- 建立了人工智能医疗设备的FDA审批流程.
- 对于放射性人工智能/机器学习,存在特定的监管考虑.
- 临床实施对人工智能的有效性提出了挑战.
结论:
- 放射学中的AI算法需要仔细验证和人类监督.
- 监管框架旨在确保AI医疗器械的安全.
- 在临床实践中优化人工智能的有效性需要解决实施挑战.
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