Causal associations between scapular morphology and shoulder condition estimated with Bayesian statistics
We developed a Bayesian causal model to answer interventional questions about the scapular anatomy's effect on shoulder condition. Our results, consistent with clinical knowledge, hold promise for aiding in early pathology detection and optimizing surgical planning within clinical settings.
Authors
- Alexandre Terrier (ORCID: https://orcid.org/0000-0002-1910-0701)
- Pezhman Eghbali (ORCID: https://orcid.org/0000-0002-2957-2569)
- Philippe Büchler (ORCID: https://orcid.org/0000-0002-8390-4827)
- Fabio Becce (ORCID: https://orcid.org/0000-0001-8444-8504)
- Dominique P. Pioletti (ORCID: https://orcid.org/0000-0001-5535-5296)
- Patrick Goetti (ORCID: https://orcid.org/0000-0001-7243-2118)
- Osman Berk Şatır
Institutions
- University of Bern (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108666
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung