A Machine-Learning Algorithm to Predict the Likelihood of Prolonged Opioid Use Following Arthroscopic Hip Surgery
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference42 articles.
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1. Artificial Intelligence Models Are Limited in Predicting Clinical Outcomes Following Hip Arthroscopy;JBJS Reviews;2024-08
2. Bibliometric analysis of machine learning trends and hotspots in arthroplasty literature over 31 years;Journal of Orthopaedics;2024-05
3. 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
4. Public Health Informatics and the Perioperative Physician: Looking to the Future;Anesthesia & Analgesia;2024-01-12
5. Prior Diagnosis of Opioid-Related Disorder Is Associated With Higher Medical Resource Utilization Following Primary Hip Arthroscopy: A National Database Study;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2023-12
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