Artificial intelligence in shoulder and elbow surgery: overview of current and future applications

被引:2
|
作者
Levin, Jay M. [1 ]
Lorentz, Samuel G. [1 ]
Hurley, Eoghan T. [1 ]
Lee, Julia [2 ]
Throckmorton, Thomas W. [3 ]
Garrigues, Grant E. [4 ]
Macdonald, Peter [5 ,6 ]
Anakwenze, Oke [1 ]
Schoch, Bradley S. [7 ]
Klifto, Christopher [1 ]
机构
[1] Duke Univ, Med Ctr, Dept Orthopaed Surg, 200 Trent Dr, Durham, NC 27710 USA
[2] Sierra Pacific Orthoped, Dept Orthoped Surg, Fresno, CA USA
[3] Univ Tennessee, Dept Orthopaed Surg, Campbell Clin, Germantown, TN USA
[4] Midwest Orthopaed Rush, Chicago, IL USA
[5] Univ Manitoba, Sect Orthopaed Surg, Winnipeg, MB, Canada
[6] Univ Manitoba, Pan Clin, Winnipeg, MB, Canada
[7] Mayo Clin, Dept Orthoped Surg, Jacksonville, FL USA
关键词
Artificial intelligence; machine learning; deep learning; shoulder; elbow; neural network; shoulder arthroplasty; rotator cuff; INTRAOPERATIVE NAVIGATION; GLENOID COMPONENT; ARTHROPLASTY; ACCURACY; OUTCOMES; IMPACT;
D O I
10.1016/j.jse.2024.01.033
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic surgery. With the exponential growth in healthcare data, computing power, and complex predictive algorithms, this technology is poised to aid providers in data processing and clinical decision support throughout the continuum of orthopedic care. Understanding the utility and limitations of this technology is vital to practicing orthopedic surgeons, as these applications will become more common place in everyday practice. AI has already demonstrated its utility in shoulder and elbow surgery for imaging -based diagnosis, predictive modeling of clinical outcomes, implant identification, and automated image segmentation. The future integration of AI and robotic surgery represents the largest potential application of AI in shoulder and elbow surgery with the potential for significant clinical and financial impact. This editorial's purpose is to summarize common AI terms, provide a framework to understand and interpret AI model results, and discuss current applications and future directions within shoulder and elbow surgery. Level of evidence: Level V; Review Article (c) 2024 Journal of Shoulder and Elbow Surgery Board of Trustees. All rights reserved.
引用
收藏
页码:1633 / 1641
页数:9
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