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Artificial Intelligence Machine Learning Algorithms Versus Standard Linear Demographic Analysis in Predicting Implant Size of Anatomic and Reverse Total Shoulder Arthroplasty.

Amir BoubekriMichael MurphyMichael ScheidtKrishin ShivdasaniJoshua AndersonNickolas GarbisDane Salazar
Published in: Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews (2024)
Linear models accurately predict shoulder arthroplasty implant sizes from demographic data. No significant statistical differences were observed between linear models and machine learning algorithms, although the analysis was underpowered. Future sufficiently powered studies are required for more robust assessment of machine learning models in predicting primary shoulder arthroplasty implant sizes based on patient demographics.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • soft tissue
  • electronic health record
  • clinical evaluation