Literature DB >> 35383655

Machine Learning for the Orthopaedic Surgeon: Uses and Limitations.

Daniel Alsoof1, Christopher L McDonald, Eren O Kuris, Alan H Daniels.   

Abstract

➤: Machine learning is a subset of artificial intelligence in which computer algorithms are trained to make classifications and predictions based on patterns in data. The utilization of these techniques is rapidly expanding in the field of orthopaedic research. ➤: There are several domains in which machine learning has application to orthopaedics, including radiographic diagnosis, gait analysis, implant identification, and patient outcome prediction. ➤: Several limitations prevent the widespread use of machine learning in the daily clinical environment. However, future work can overcome these issues and enable machine learning tools to be a useful adjunct for orthopaedic surgeons in their clinical decision-making.
Copyright © 2022 by The Journal of Bone and Joint Surgery, Incorporated.

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Year:  2022        PMID: 35383655     DOI: 10.2106/JBJS.21.01305

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   6.558


  1 in total

1.  Risk factors for secondary meniscus tears can be accurately predicted through machine learning, creating a resource for patient education and intervention.

Authors:  Kevin Jurgensmeier; Sara E Till; Yining Lu; Alexandra M Arguello; Michael J Stuart; Daniel B F Saris; Christopher L Camp; Aaron J Krych
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-08-16       Impact factor: 4.114

  1 in total

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