Artificial intelligence assists identification and pathologic classification of glomerular lesions in patients with diabetic nephropathy.

Journal: Journal of translational medicine
PMID: 38684996

Abstract

BACKGROUND: Glomerular lesions are the main injuries of diabetic nephropathy (DN) and are used as a crucial index for pathologic classification. Manual quantification of these morphologic features currently used is semi-quantitative and time-consuming. Automatically quantifying glomerular morphologic features is urgently needed.

Authors

  • Qunjuan Lei
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, PR China.
  • Xiaoshuai Hou
    Ping An Healthcare Technology, Shang Hai, PR China.
  • Xumeng Liu
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210009, China.
  • Dongmei Liang
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210009, China.
  • Yun Fan
    Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
  • Feng Xu
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Shaoshan Liang
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, PR China.
  • Dandan Liang
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, PR China.
  • Jing Yang
    Beijing Novartis Pharma Co. Ltd., Beijing, China.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.
  • Zhihong Liu
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
  • Caihong Zeng
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.

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