Modern Applications of Machine Learning in Shoulder Arthroplasty A Review

被引：0
|
作者：
Patel, Akshar V. [1 ,2 ]
Stevens, Andrew J. [1 ,2 ]
Mallory, Noah [1 ,2 ]
Gibbs, David [1 ,2 ]
Pallumeera, Mustaqueem [1 ,2 ]
Katayama, Erryk [1 ,2 ]
Cvetanovich, Gregory L. [1 ,2 ]
Bishop, Julie Y. [1 ,2 ]
Rauck, Ryan C. [1 ,2 ]
机构：
[1] Ohio Univ, Wexner Med Ctr, Columbus, OH USA
[2] Ohio State Univ, Coll Med, Dept Orthopaed, Columbus, OH 43210 USA
来源：
JBJS REVIEWS | 2023年 / 11卷 / 07期
关键词：
PREDICT CLINICAL-OUTCOMES; AMERICAN SHOULDER; OSTEOARTHRITIS; SCORE; PAIN;
D O I：
10.2106/JBJS.RVW.22.00225
中图分类号：
R61 [外科手术学];
学科分类号：
摘要：
& drangbrac; There is increased integration of machine learning (ML) to aid clinical decision-making in orthopaedic surgery.& drangbrac; ML has the ability to predict both clinical outcomes such as range of motion and complications in total shoulder arthroplasty patients.& drangbrac; An increased area of focus is the ability for ML to identify implants to aid in revision surgery planning.& drangbrac; In this article, we review the current applications of ML in shoulder arthroplasty and discuss future areas where it may enhance orthopaedic practice.
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页数：7
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