Deep learning in the radiologic diagnosis of osteoporosis: a literature review.

Journal: The Journal of international medical research
PMID: 38656208

Abstract

OBJECTIVE: Osteoporosis is a systemic bone disease characterized by low bone mass, damaged bone microstructure, increased bone fragility, and susceptibility to fractures. With the rapid development of artificial intelligence, a series of studies have reported deep learning applications in the screening and diagnosis of osteoporosis. The aim of this review was to summary the application of deep learning methods in the radiologic diagnosis of osteoporosis.

Authors

  • Yu He
    Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350116, China.
  • Jiaxi Lin
    Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
  • Shiqi Zhu
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou , Jiangsu, 215000, China.
  • Jinzhou Zhu
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215000, China.
  • Zhonghua Xu
    Department of Orthopedics, Jintan Affiliated Hospital to Jiangsu University, Changzhou, China.

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