Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review

Gupta, P., Haeberle, H. S., Zimmer, Z. R., Levine, W. N., Williams, R. J., & Ramkumar, P. N. (2023). Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review. JSES Reviews, Reports, and Techniques, 3(2), 189–200. https://doi.org/10.1016/j.xrrt.2022.12.006
Authors:
Puneet Gupta
Heather S Haeberle
Zachary R Zimmer
William N Levine
Riley J Williams
Prem N Ramkumar
Affiliated Authors:
Puneet Gupta
Heather S Haeberle
William N Levine
Columbia Affiliation:
Author Keywords:
artificial intelligence
machine learning
orthopedics
shoulder
shoulder surgery
technology
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Publication Type:
Article
Unique ID:
10.1016/j.xrrt.2022.12.006
PMID:
37588443
DOI:
10.1016/j.xrrt.2022.12.006
Journal:
JSES Reviews, Reports, and Techniques
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: