A machine learning and nomogram-based study: effect of applying biologically formulated platelet-rich plasma (PRP) on the degree of pain relief after rotator cuff repair and prediction modeling, integrating biomedicine and artificial intelligence
This study highlights the potential of integrating machine learning and nomogram approaches to enhance personalized prediction of PRP analgesic response. Such individualized forecasting tools may support tailored postoperative management strategies and optimize rehabilitation outcomes.
Authors
- Jianguo Zhang (ORCID: https://orcid.org/0000-0003-0723-1701)
- Haoyu Feng
- Jian Gao (ORCID: https://orcid.org/0000-0002-9404-8771)
- Wei Liu (ORCID: https://orcid.org/0000-0002-9503-4507)
Institutions
- Shanxi Medical University (CN)
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fmed.2025.1647551
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00