Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based Risk Calculator with Explainable Artificial Intelligence (XAI).

Journal: Infection and drug resistance
Published Date: May 31, 2025

Abstract

BACKGROUND: Tuberculosis spondylitis (TS), also known as Pott's disease, is the most common destructive form of musculoskeletal tuberculosis and poses significant clinical challenges, particularly when complicated by osteoporosis. Osteoporosis exacerbates surgical outcomes and increases the risk of complications, making its accurate prediction crucial for effective patient management.

Authors

  • Parhat Yasin
    Department of Spine Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China, 830054.
  • Liwen Ding
    Department of Epidemiology and Health Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Mardan Mamat
    Department of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, People's Republic of China. mardanmmtmx@163.com.
  • Wei Guo
    Emergency Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Xinghua Song
    Department of Bone Tumor Surgery, Orthopedics Center, the First Affiliated Hospital of Xinjiang Medical University, Urumchi Xinjiang, 830054, P.R.China.songxinghua19@163.com.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals