Problems and countermeasures in the application of artificial intelligence in laboratory medicine research and development
10.3760/cma.j.cn114452-20210625-00396
- VernacularTitle:人工智能在检验医学应用研发中的问题剖析及应对策略
- Author:
Yin JIA
1
;
Jinsong KANG
;
Shanrong LIU
Author Information
1. 海军军医大学第一附属医院 实验诊断科，上海 200433
- Keywords:
Laboratory medicine;
Artificial intelligence
- From:
Chinese Journal of Laboratory Medicine
2021;44(10):892-896
- CountryChina
- Language:Chinese
-
Abstract:
Research on the application of artificial intelligence in laboratory medicine has become an important direction for laboratory development. However, there were still problems in the process of product application research and development of artificial intelligence technology, such as lack of interpretability of machine learning models, lack of talent teams, and many potential safety hazards. The reason for this may include low quality of data sets, deviations in research design, imperfect talent training mechanism, and inadequate legislation and supervision. In response to these reasons, the article proposes countermeasures, including establishing data entry and collection standards, formulating data labeling management standards, making model risk analysis, strengthening compound talent training, and improving supervision and management systems. Ensuring artificial intelligence products applied in the field of laboratory medicine could effectively improve the quality of medical services on the premise of improving the efficiency of diagnosis and reducing the rate of misdiagnosis and missed diagnosis.
