Introducing FREMML: a decision-support approach for automated identification of individuals at high imminent fracture risk
The publicly available FREM<sub>ML</sub> boosting model, combined with explainable AI, may be an effective decision support approach in a physician's referral of individuals at high imminent risk of fractures to dual-energy X-ray absorptiometry.
Authors
- Jan Christian Brønd (ORCID: https://orcid.org/0000-0001-6718-3022)
- Katrine Hass Rubin (ORCID: https://orcid.org/0000-0001-5045-536X)
- Bo Abrahamsen (ORCID: https://orcid.org/0000-0002-2730-6080)
- Jens Søndergaard (ORCID: https://orcid.org/0000-0002-1629-1864)
- M. Rietz (ORCID: https://orcid.org/0000-0003-2428-2447)
Institutions
- Steno Diabetes Centers (DK)
- University of Southern Denmark (DK)
- Odense University Hospital (DK)
- Karolinska Institutet (SE)
Publication Details
- Journal
- Archives of Osteoporosis
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1007/s11657-025-01613-5
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65