Editorial Commentary: Personalized Hip Arthroscopy Outcome Prediction Using Machine Learning—The Future Is Here
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
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1. Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2024-06
2. Recommended Requirements and Essential Elements for Proper Reporting of the Use of Artificial Intelligence Machine Learning Tools in Biomedical Research and Scientific Publications;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2024-04
3. Predicting Outcomes in Hip Arthroscopy for Femoroacetabular Impingement Syndrome;Current Reviews in Musculoskeletal Medicine;2024-01-06
4. Development of Machine-Learning Algorithms to Predict Attainment of Minimal Clinically Important Difference After Hip Arthroscopy for Femoroacetabular Impingement Yield Fair Performance and Limited Clinical Utility;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2023-10
5. Re-tear after arthroscopic rotator cuff tear surgery: risk analysis using machine learning;Journal of Shoulder and Elbow Surgery;2023-08
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