对机遇性肉眼查进行计算机断层扫描的全自动化AI集成系统的实施:多中心前性研究
Bushra Urooj1,2, Yousun Ko1,2, Seongwon Na1,2
1Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Asan Medical Center, Seoul, 05505, Republic of Korea.
JMIR formative research
|September 5, 2025
概括
一个完全自动化的人工智能 (AI) 系统用于对计算机断层扫描 (CT) 进行体质评估,在现实健康检查中取得了100%的成功率和97.4%的准确率,从而提高了肉症的查率.
科学领域:
- 医学成像分析
- 医疗保健中的人工智能
- 放射学和成像信息学
背景情况:
- 机遇式计算机断层扫描 (CT) 查骨症和骨髓炎越来越重要.
- 完全自动化的人工智能 (AI) 系统对于广泛的机会性选至关重要.
- 人工智能在日常健康检查中的临床应用尚未得到评估.
研究的目的:
- 评估完全自动化的人工智能系统的性能和临床实用性.
- 评估人工智能系统在日常健康检查中的机会性CT扫描中的整合和有效性.
- 在临床环境中确定系统的准确性,速度和成功率.
主要方法:
- 这项前性多中心研究涉及3个机构的537名患者.
- 与图像存档和通信系统 (PACS) 集成的L3切片选择和端到端肌肉/脂肪细分的AI算法.
- 评估技术成功率,处理时间和细分精度 (迪斯相似系数).
主要成果:
- 人工智能系统表现出100%的技术成功率,不需要手动调整.
- 从CT获取到报告生成的平均处理时间为4.12秒.
- 与人类专家相比,细分精度达到了97.4%,显示出与年龄相关的身体组成变化.
结论:
- 完全自动化的人工智能系统显著改善了机会性肉眼查.
- 在没有人工干预的情况下实现了高技术成功和细分精度.
- 人工智能系统有潜力通过快速准确的身体成分分析, 彻底改变日常健康检查.
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