Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters.

Journal: Endocrinology and metabolism (Seoul, Korea)
Published Date:

Abstract

BACKGROUND: Bone fracture risk assessment for osteoporotic patients is essential for implementing early countermeasures and preventing discomfort and hospitalization. Current methodologies, such as Fracture Risk Assessment Tool (FRAX), provide a risk assessment over a 5- to 10-year period rather than evaluating the bone's current health status.

Authors

  • Luca Quagliato
    Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea.
  • Jiin Seo
    Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea.
  • Jiheun Hong
    Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea.
  • Taeyong Lee
    Department of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea; Department of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea; Human Performance Lab Co., Ltd., #358, Research Cooperation Building, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea. Electronic address: tlee@ewha.ac.kr.
  • Yoon-Sok Chung
    Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.

Keywords

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