Editorial Commentary: Machine Learning in Orthopaedics: Venturing Into the Valley of Despair
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference8 articles.
1. Meaningless applications and misguided methodologies in artificial intelligence–related orthopaedic research propagates hype over hope;Ramkumar;Arthroscopy,2022
2. Unintended consequences of machine learning in medicine;Cabitza;JAMA,2017
3. Machine learning in orthopedics: A literature review;Cabitza;Front Bioeng Biotechnol,2018
4. Machine learning algorithms predict clinically significant improvements in satisfaction after hip arthroscopy;Kunze;Arthroscopy,2021
5. Duration of care and operative time are the primary cost drivers after ambulatory hip arthroscopy: A machine learning analysis;Lu;Arthroscopy,2022
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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. Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs;The Journal of Arthroplasty;2023-10
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