Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis
Level II, prognostic study-lower-quality prospective cohort. The study uses a large, population-based prospective cohort (UK Biobank) with retrospective analytical methods; follow-up is high, but the study is a secondary analysis rather than a primary prospectively designed prognostic trial.
Authors
- Florian Hinterwimmer (ORCID: https://orcid.org/0000-0002-0273-0643)
- Ricardo Smits Serena (ORCID: https://orcid.org/0000-0001-9825-302X)
- Christina Valle (ORCID: https://orcid.org/0009-0009-0591-2942)
- Georg Matziolis
- Rüdiger von Eisenhart‐Rothe
- Michael T Hirschmann
Institutions
- Kantonsspital Baselland (CH)
- Institute for Sports Medicine (DE)
- Waldkrankenhaus Rudolf Elle (DE)
- Kantonsspital Baselland Standort Bruderholz (CH)
- Institute of Informatics of the Slovak Academy of Sciences (SK)
- Imperial College London (GB)
Publication Details
- Journal
- Knee Surgery Sports Traumatology Arthroscopy
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1002/ksa.70332
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- TUM Universitätsstiftung