Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 48 min ago
Peer-reviewedCC BY-NC-NDOsteoporosis and sarcopenia

Federated learning for privacy-preserving opportunistic screening of lumbar-spine DXA-defined osteoporotic-level bone mineral density using chest radiographs: A multi-center independent validation study

  • Bo-Ru Lin1
  • Ming-Yueh Huang2
  • Wei-Chung Sun1
  • Po-Wei Wu1
  • Paul Chang1
  • Ethan Tu1
  • Wei-Chieh Hung3
  1. 1Taiwan AI Labs, Taipei, Taiwan
  2. 2Data Science Degree Program, National Taiwan University and Academia Sinica, Taipei, Taiwan
  3. 3Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
Read full textPDFCite

Related

  1. Real-World Validation of an AI-Based Opportunistic Osteoporosis Risk Stratification Tool Using Chest Radiographs in a Male-Predominant Cohort.
    Kao-Chang Tu, Sheng-Chou Wu, Han-Ting Shih +3
    Healthcare (Basel, Switzerland)Peer-reviewedCC BYFull textSurgery & anaesthesiaEurope PMC
  2. Preserving a decade of machine-learning validity across a ground-up refactoring: a five-tier automated validation of RCT-Reviewer, an independent modernization of RobotReviewer
    V. Sahu, A. Sahu
    medRxivPreprintCC BYFull textEpidemiology & public healthmedRxiv
  3. Cost-utility analysis of deep learning-based opportunistic osteoporosis screening using chest radiographs: implications of diagnostic thresholds and confirmatory testing.
    Bo-Xiang Shi, Dung-Jang Tsai, Chin Lin +3
    Archives of osteoporosisPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Opportunistic Cardiovascular Risk Assessment in the Eye Clinic: Validation of a Retinal Deep Learning–Based 10-Year Atherosclerotic Cardiovascular Disease Estimator
    Simon Nusinovici, Heesuk Kim, Jaewon Seo +17
    Ophthalmology sciencePeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  5. NRF2 signalling in endometriosis: A hormone-independent axis for fertility-preserving therapeutic innovation
    Shen Chen, Yun Lu, Luxuan Wang +7
    Pharmacological ResearchPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsDOAJ

Cite

BibTeXRIS
BibTeX
@article{lin2026federated,
  title = {{Federated learning for privacy-preserving opportunistic screening of lumbar-spine DXA-defined osteoporotic-level bone mineral density using chest radiographs: A multi-center independent validation study}},
  author = {Bo-Ru Lin and Ming-Yueh Huang and Wei-Chung Sun and Po-Wei Wu and Paul Chang and Ethan Tu and Wei-Chieh Hung},
  journal = {Osteoporosis and sarcopenia},
  year = {2026},
  month = jun,
  url = {https://europepmc.org/article/PMC/PMC13662879},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Federated learning for privacy-preserving opportunistic screening of lumbar-spine DXA-defined osteoporotic-level bone mineral density using chest radiographs: A multi-center independent validation study
AU  - Bo-Ru Lin
AU  - Ming-Yueh Huang
AU  - Wei-Chung Sun
AU  - Po-Wei Wu
AU  - Paul Chang
AU  - Ethan Tu
AU  - Wei-Chieh Hung
PY  - 2026
DA  - 2026/06/26
JO  - Osteoporosis and sarcopenia
UR  - https://europepmc.org/article/PMC/PMC13662879
SN  - 2405-5255
SN  - 2405-5263
ER  -