The Viability of an Artificial Intelligence/Machine Learning Prediction Model to Determine Candidates for Knee Arthroplasty
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
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1. Developing a Computer Vision Model to Automate Quantitative Measurement of Hip-Knee-Ankle Angle in Total Hip and Knee Arthroplasty Patients;The Journal of Arthroplasty;2024-09
2. Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports;BONE JOINT J;2024
3. Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports;The Bone & Joint Journal;2024-07-01
4. A multiview deep learning‐based prediction pipeline augmented with confident learning can improve performance in determining knee arthroplasty candidates;Knee Surgery, Sports Traumatology, Arthroscopy;2024-05-07
5. Present and Future Optimization of Orthopaedic Care Through Machine Learning Algorithms;The Journal of Arthroplasty;2024-05
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