Can the Artificial Intelligence System for Urine Microalbuminuria Detection Monitor the Progression of Diabetic Kidney Disease in the Clinical Laboratory?

Lin, Xiaozhe; Xiao, Yingxiu; Tian, Yaqiong; Cheng, Bizhen; Jiao, Xiaoyang; Yang, Xinran; Wang, Yongni; Xiong, Wenjing; Guo, Wenyan; Wu, Qingyu; Zhang, Qiaoxin

Lin, Xiaozhe; Xiao, Yingxiu; Tian, Yaqiong; Cheng, Bizhen; Jiao, Xiaoyang; Yang, Xinran; Wang, Yongni; Xiong, Wenjing; Guo, Wenyan; Wu, Qingyu; Zhang, Qiaoxin.

Afiliación

Lin X; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Xiao Y; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Tian Y; The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Cheng B; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Jiao X; Shantou University Medical College, Shantou, China.
Yang X; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Wang Y; The Second Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Xiong W; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Guo W; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Wu Q; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.
Zhang Q; The First Affiliated Hospital of Shantou University Medical College, Shantou University, Shantou, China.

Diabetes Care ; 45(10): e136-e138, 2022 10 01.

Article en En | MEDLINE | ID: mdl-35984442

Asunto(s)

Diabetes Mellitus Tipo 2; Nefropatías Diabéticas; Albuminuria/diagnóstico; Inteligencia Artificial; Nefropatías Diabéticas/diagnóstico; Humanos; Laboratorios Clínicos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Nefropatías Diabéticas Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Diabetes Care Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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