Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

Journal: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
PMID: 37728768

Abstract

UNLABELLED: While FRAX with BMD could be more precise in estimating the fracture risk, DL-based models were validated to slightly reduce the number of under- and over-treated patients when no BMD measurements were available. The validated models could be used to screen for patients at a high risk of fracture and osteoporosis.

Authors

  • Wei- Chieh Hung
    Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
  • Yih-Lon Lin
    Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan.
  • Tien-Tsai Cheng
    Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, Kaohsiung Chang Gung Memorial Hospital and School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Wei-Leng Chin
    Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
  • Li-Te Tu
    Enterprise Resource Planning Technical Support and Research and Design Department, InfoChamp Systems Corporation, Kaohsiung, Taiwan.
  • Chih-Kui Chen
    Enterprise Resource Planning Technical Support and Research and Design Department, InfoChamp Systems Corporation, Kaohsiung, Taiwan.
  • Chih-Hui Yang
    Department of Biological Science and Technology, I-Shou University, Kaohsiung, Taiwan.
  • Chih-Hsing Wu
    Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan. paulo@mail.ncku.edu.tw.

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