Intelligent control of medical imaging quality:From subjective experience to intelligent precision
10.13929/j.issn.1003-3289.2025.08.045
- VernacularTitle:智能化控制医学影像质量:从主观经验到智能精准
- Author:
Zhenlin LI
1
Author Information
1. 四川大学华西医院放射科,四川成都 610041;四川大学华西临床医学院,四川成都 610041
- Publication Type:Journal Article
- Keywords:
diagnostic imaging;
quality control;
artificial intelligence
- From:
Chinese Journal of Medical Imaging Technology
2025;41(8):1443-1446
- CountryChina
- Language:Chinese
-
Abstract:
Medical imaging quality control gave a leap from subjective experience dependence to objective quantitative calibration and standardization,entering the era of artificial intelligence(AI)-driven intelligent precision.AI has systematically solved the core problems of special body imaging,radiation dose control and uneven resources at the grassroots level through deep learning reconstruction(DLR),low-dose collaborative optimization,real-time quality control platforms and other innovative means,and a quality control system was reconstructed through real-time intervention,individualized precision and full-process closed-loop.In the future,rely on multi-modal intelligent fusion,lightweight deployment of edge computing and trusted AI framework,medical imaging quality control will break through major challenges of heterogeneity of imaging data,model generalization bottleneck,algorithmic black-box problem and resource cost balance,etc.,and continue to push forward the realization of"zero missed"precise imaging.
