当前位置:
X-MOL 学术
›
npj Digit. Med.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Artificial intelligence related safety issues associated with FDA medical device reports
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-12-03 , DOI: 10.1038/s41746-024-01357-5 Jessica L. Handley, Seth A. Krevat, Allan Fong, Raj M. Ratwani
中文翻译:
与 FDA 医疗器械报告相关的人工智能相关安全问题
更新日期:2024-12-03
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-12-03 , DOI: 10.1038/s41746-024-01357-5 Jessica L. Handley, Seth A. Krevat, Allan Fong, Raj M. Ratwani
The Biden 2023 Artificial Intelligence (AI) Executive Order calls for the creation of a patient safety program. Patient safety reports are a natural starting point for identifying issues. We examined the feasibility of this approach by analyzing reports associated with AI/Machine Learning (ML)-enabled medical devices. Of the 429 reports reviewed, 108 (25.2%) were potentially AI/ML related, with 148 (34.5%) containing insufficient information to determine an AI/ML contribution. A more comprehensive approach is needed.
中文翻译:
与 FDA 医疗器械报告相关的人工智能相关安全问题
拜登 2023 年人工智能 (AI) 行政命令呼吁制定患者安全计划。患者安全报告是识别问题的自然起点。我们通过分析与支持 AI/机器学习 (ML) 的医疗设备相关的报告来检查这种方法的可行性。在审查的 429 份报告中,108 份 (25.2%) 可能与 AI/ML 相关,其中 148 份 (34.5%) 包含的信息不足以确定 AI/ML 贡献。需要一种更全面的方法。