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The Journal of Arthroplasty|June 25, 2019
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?Jaret M Karnuta, Sergio M Navarro, Heather S Haeberle, et al.
The Journal of Trauma|January 13, 2010
Are "normal" multidetector computed tomographic scans sufficient to allow collar removal in the trauma patient?Josef B Simon, Andrew J Schoenfeld, Jeffrey N Katz, et al.
Clinical Orthopaedics and Related Research|March 10, 2023
Characterization and Reach of Orthopaedic Research Posted to Preprint Servers: Are We "Undercooking" Our Science?Adam A Rizk, Ramón A Arza, Tarun K Jella, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|November 19, 2023
Fluoroscopy-based robotics in total hip arthroplasty mitigates laterality-based differences in acetabular cup placement when compared to the manual, fluoroscopic- assisted techniqueChristian B Ong, Graham B J Buchan, Christian J Hecht Ii, et al.
The Journal of Knee Surgery|September 2, 2020
In-hospital Mortality after Septic Revision TKA: Analysis of the New York and Florida State Inpatient DatabasesLinsen T Samuel, Assem A Sultan, Guangjin Zhou, et al.
Orthopedics|November 30, 2021
In-Hospital Mortality Is Associated With Low-Volume Hip Revision Centers After Septic Revision Total Hip ArthroplastyLinsen T Samuel, Assem A Sultan, Guangjin Zhou, et al.
The Journal of Arthroplasty|September 26, 2022
The Efficacy and Safety of Periarticular Injection in Total Joint Arthroplasty: A Direct Meta-AnalysisCharles P Hannon, Yale A Fillingham, Mark J Spangehl, et al.
The Journal of Arthroplasty|June 30, 2019
Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A ReviewHeather S Haeberle, James M Helm, Sergio M Navarro, et al.
The Spine Journal : Official Journal of the North American Spine Society|October 27, 2019
Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion?Jaret M Karnuta, Joshua L Golubovsky, Heather S Haeberle, et al.
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