Can the Artificial Intelligence System for Urine Microalbuminuria Detection Monitor the Progression of Diabetic Kidney Disease in the Clinical Laboratory?
- Resource Type
- Letter
- Authors
- Lin, Xiaozhe; Xiao, Yingxiu; Tian, Yaqiong; Cheng, Bizhen; Jiao, Xiaoyang; Yang, Xinran; Wang, Yongni; Xiong, Wenjing; Guo, Wenyan; Wu, Qingyu; Zhang, Qiaoxin
- Source
- Diabetes Care. Oct2022, Vol. 45 Issue 10, pe136-e138. 3p.
- Subject
- Language
- ISSN
- 0149-5992
The article offers information on how artificial intelligence system for urine microalbuminuria detection monitor the progression of diabetic kidney disease in the clinical laboratory. It mentions about the study to establish artificial intelligence (AI) system containing autoverification and autoguidance subsystems for urine microalbuminuria (Uma) detection.