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.

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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
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article

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

Jianguo Zhang, Haoyu Feng, Jian Gao, Wei Liu
Frontiers in Medicine
Shoulder Injury and Treatment
article

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

Jianguo Zhang, Haoyu Feng, Jian Gao, Wei Liu
article en

Abstract

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.

Frontiers in MedicineVol. 12
Shanxi Medical University (CN), Shanxi Academy of Medical Sciences (CN)
Openalex Percentile: Top 56%
Shoulder Injury and Treatment
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