2020年至2022年期间,在荷兰对放射学人工智能产品的临床使用
Kicky G van Leeuwen1, Maarten de Rooij2, Steven Schalekamp2
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. kickyvanleeuwen@gmail.com.
European radiology
|July 29, 2023
概括
荷兰放射学中人工智能 (AI) 的采用正在增长,其多样性和实施越来越多. 然而,成本和IT集成仍然是广泛使用的重大障碍.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 软件在临床实践中的整合正在迅速发展.
- 拥有CE标志的AI工具越来越多地可供放射科部门使用.
研究的目的:
- 在荷兰放射科部门绘制CE标记AI软件的临床采用和使用模式.
- 确定阻碍人工智能在放射学中的广泛实施的主要障碍.
主要方法:
- 来自荷兰69个放射学部门的AI代表网络从2020年到2022年完成了年度问卷.
- 收集的数据包括人工智能产品的使用,融资和采用挑战.
- 不包括在2022年7月之前在AIforRadiology.com上市的产品.
主要成果:
- 使用人工智能的部门数量从2020年的14个增加到2022年的23个.
- 人工智能多样性和总部实施量迅速增长,到2022年将有68个实施方案.
- 人工智能主要用于胸部CT,神经CT和肌肉骨放射分析.
- 成本和IT集成是主要障碍,尽管28-32%的人报告了健康或成本效益.
结论:
- 荷兰放射学中人工智能的采用显示出一个正在发展的市场的迹象,稳步增长.
- 财务限制和IT整合困难是人工智能广泛采用的主要障碍.
- 提高人工智能采用,障碍和影响的透明度可以促进更好的决策和协作.
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