The role of machine learning in advancing diabetic foot: a review.

Journal: Frontiers in endocrinology
Published Date: Apr 29, 2024

Abstract

BACKGROUND: Diabetic foot complications impose a significant strain on healthcare systems worldwide, acting as a principal cause of morbidity and mortality in individuals with diabetes mellitus. While traditional methods in diagnosing and treating these conditions have faced limitations, the emergence of Machine Learning (ML) technologies heralds a new era, offering the promise of revolutionizing diabetic foot care through enhanced precision and tailored treatment strategies.

Authors

  • Huifang Guan
    College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Ping Niu
    Department of Encephalopathy, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.
  • Yuxin Zhang
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology , Sichuan University , Chengdu 610041 , People's Republic of China.
  • Yanjiao Zhang
    The Key Laboratory of Aquaculture Nutrition and Feed (Ministry of Agriculture) & the Key Laboratory of Mariculture (Ministry of Education), Ocean University of China, Qingdao, China.
  • Runyu Miao
    Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Xinyi Fang
    Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Ruiyang Yin
    Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Shuang Zhao
    Department of Microelectronics, Nankai University, Tianjin, 300350, PR China.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Jiaxing Tian
    Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals