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- Title
医学人工智能产品检测平台的设计.
- Authors
孟祥峰; 王 浩; 张 超; 李佳戈; 李静莉
- Abstract
Objective To design a medical artificial intelligence (AI) product testing platform to enable whole-process quality evaluation of multimodal AI products. Methods The platform was developed using SpringBoot, SpringCloud and Python Django, which consisted of several modules for data loading, data annotation, data configuration, product submission, algorithm testing and dataset quality evaluation. Permission control and access security were ensured through authentication process design, and localized deployment was carried out through a dedicated line connection with the cloud platform to achieve secure storage of multi center/hospital data. Results The platform developed facilitated the whole-process service involving in algorithm deployment, data upload, expert labeling, performance verification, algorithm tuning and re -evaluation, and could be used for the performance evaluation of medical AI products at R & D stage and before and after launch. Conclusion The platform is able to provide testing and evaluation services according to user needs, establishing a full life-cycle testing service system for medical AI products.
- Publication
Chinese Medical Equipment Journal, 2023, Vol 44, Issue 1, p1
- ISSN
1003-8868
- Publication type
Article
- DOI
10.19745/j.1003-8868.2023001