| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Accuracy, Reliability, and Repeatability of a Novel Artificial Intelligence Algorithm Converting Two-Dimensional Radiographs to Three-Dimensional Bone Models for Total Knee Arthroplasty
|
Fernandes, Levi Reina
|
|
|
38 |
10 |
p. 2032-2036
|
article
|
| 2 |
A Deep Learning Tool for Automated Landmark Annotation on Hip and Pelvis Radiographs
|
Mulford, Kellen L.
|
|
|
38 |
10 |
p. 2024-2031.e1
|
article
|
| 3 |
An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper
|
Padash, Sirwa
|
|
|
38 |
10 |
p. 1938-1942
|
article
|
| 4 |
Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges
|
Nugen, Fred
|
|
|
38 |
10 |
p. 1948-1953
|
article
|
| 5 |
Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs
|
Karnuta, Jaret M.
|
|
|
38 |
10 |
p. 2004-2008
|
article
|
| 6 |
Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs
|
Karnuta, Jaret M.
|
|
|
38 |
10 |
p. 1998-2003.e1
|
article
|
| 7 |
Artificially Intelligent Three-Dimensionally-Printed Patient-Specific Instrument Improves Total Hip Arthroplasty Accuracy
|
Chen, Xi
|
|
|
38 |
10 |
p. 2060-2067.e1
|
article
|
| 8 |
Comparing Risk Assessment Between Payers and Providers: Inconsistent Agreement in Medical Comorbidity Records for Patients Undergoing Total Joint Arthroplasty
|
Hobbs, John R.
|
|
|
38 |
10 |
p. 2105-2113
|
article
|
| 9 |
Conflict of Interest Statement
|
|
|
|
38 |
10 |
p. A13
|
article
|
| 10 |
Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns
|
Khosravi, Bardia
|
|
|
38 |
10 |
p. 2037-2043.e1
|
article
|
| 11 |
Current Practice Trends in Primary Hip and Knee Arthroplasties Among Members of the American Association of Hip and Knee Surgeons
|
Abdel, Matthew P.
|
|
|
38 |
10 |
p. 1921-1927.e3
|
article
|
| 12 |
Deep Learning Approach for Diagnosing Early Osteonecrosis of the Femoral Head Based on Magnetic Resonance Imaging
|
Shen, Xianyue
|
|
|
38 |
10 |
p. 2044-2050
|
article
|
| 13 |
Deep Learning: Orthopaedic Research Evolves for the Future
|
Taunton, Michael J.
|
|
|
38 |
10 |
p. 1919-1920
|
article
|
| 14 |
Defining Clinically Meaningful Subgroups for Risk Stratification in Patients Undergoing Revision Total Hip Arthroplasty: A Combined Unsupervised and Supervised Machine Learning Approach
|
Lu, Yining
|
|
|
38 |
10 |
p. 1990-1997.e1
|
article
|
| 15 |
Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data
|
Khosravi, Bardia
|
|
|
38 |
10 |
p. 1943-1947
|
article
|
| 16 |
Does Automated Impaction Improve Femoral Component Sizing and Alignment in Total Hip Arthroplasty?
|
Thalody, Hope S.
|
|
|
38 |
10 |
p. 2154-2158
|
article
|
| 17 |
Don’t Miss It! 2022 AAHKS Proceedings is Online!
|
Bellamy, Jaime L.
|
|
|
38 |
10 |
p. 1911-1918
|
article
|
| 18 |
Editorial Board
|
|
|
|
38 |
10 |
p. A1-A2
|
article
|
| 19 |
Editorial Board Changes: A Couple Welcomes and a Farewell
|
Bellamy, Jaime L.
|
|
|
38 |
10 |
p. 1910
|
article
|
| 20 |
Educational Overview of the Concept and Application of Computer Vision in Arthroplasty
|
Vera-Garcia, Diana V.
|
|
|
38 |
10 |
p. 1954-1958
|
article
|
| 21 |
Exposure to Extended Reality and Artificial Intelligence-Based Manifestations: A Primer on the Future of Hip and Knee Arthroplasty
|
Shaikh, Hashim J.F.
|
|
|
38 |
10 |
p. 2096-2104
|
article
|
| 22 |
External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes
|
Wyles, Cody C.
|
|
|
38 |
10 |
p. 2081-2084
|
article
|
| 23 |
Failed 2-Stage Revision Knee Arthroplasty for Periprosthetic Joint Infection—Patient Characteristics and Outcomes
|
Shichman, Ittai
|
|
|
38 |
10 |
p. 2177-2182
|
article
|
| 24 |
Genetic Risk Factors for End-Stage Hip Osteoarthritis Treated With Total Hip Arthroplasty: A Genome-wide Association Study
|
Kulm, Scott
|
|
|
38 |
10 |
p. 2149-2153.e1
|
article
|
| 25 |
Go Big or Go Home: Obesity and Total Joint Arthroplasty
|
Blankstein, Michael
|
|
|
38 |
10 |
p. 1928-1937
|
article
|
| 26 |
Health and Socioeconomic Risk Factors for Unplanned Hospitalization Following Ambulatory Unicompartmental Knee Arthroplasty: Development of a Patient Selection Tool Using Machine Learning
|
Labott, Joshua R.
|
|
|
38 |
10 |
p. 1982-1989
|
article
|
| 27 |
Identifying Modifiable Cost Drivers of Outpatient Unicompartmental Knee Arthroplasty With Machine Learning
|
Salmons, Harold I.
|
|
|
38 |
10 |
p. 2051-2059.e2
|
article
|
| 28 |
Inconsistency and Ambiguity Within the International Classification of Disease 10 Procedure Coding System for Hip Fractures
|
Ozdemir, Levent A.
|
|
|
38 |
10 |
p. 2120-2125
|
article
|
| 29 |
Internal and External Validation of the Generalizability of Machine Learning Algorithms in Predicting Non-home Discharge Disposition Following Primary Total Knee Joint Arthroplasty
|
Chen, Tony Lin-Wei
|
|
|
38 |
10 |
p. 1973-1981
|
article
|
| 30 |
Joint Track Machine Learning: An Autonomous Method of Measuring Total Knee Arthroplasty Kinematics From Single-Plane X-Ray Images
|
Jensen, Andrew J.
|
|
|
38 |
10 |
p. 2068-2074
|
article
|
| 31 |
Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements
|
Jang, Seong Jun
|
|
|
38 |
10 |
p. 2017-2023.e3
|
article
|
| 32 |
Letter to the Editor: Regarding “Outcomes of Ceramic-On-Ceramic Bearing Total Hip Arthroplasty: A Minimum 10-Year Follow-Up Study”
|
Ozden, Vahit E.
|
|
|
38 |
10 |
p. e39
|
article
|
| 33 |
Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty
|
Chen, Tony Lin-Wei
|
|
|
38 |
10 |
p. 1967-1972
|
article
|
| 34 |
Masthead
|
|
|
|
38 |
10 |
p. A5
|
article
|
| 35 |
Patients Undergoing Primary, Cementless TKA had Similar Pain, Opioid Utilization, and Functional Outcomes Compared to Matched Patients With Cemented Fixation
|
Chalmers, Brian P.
|
|
|
38 |
10 |
p. 2131-2136
|
article
|
| 36 |
Plasma D-Dimer Is a Promising Marker to Guide Timing of Reimplantation: A Prospective Cohort Study
|
Tarabichi, Saad
|
|
|
38 |
10 |
p. 2164-2170.e1
|
article
|
| 37 |
Postoperative Complications, Readmissions, Lengths of Stay, and Cost Analyses of Patients Who Have Atrial Septal Defects After Total Joint Arthroplasty
|
Magruder, Matthew L.
|
|
|
38 |
10 |
p. 2126-2130
|
article
|
| 38 |
Prediction of Change in Pelvic Tilt After Total Hip Arthroplasty Using Machine Learning
|
Fujii, Junpei
|
|
|
38 |
10 |
p. 2009-2016.e3
|
article
|
| 39 |
Primary Total Hip Arthroplasty in Dialysis-Dependent Patients: 35% Mortality at 5 years
|
Karczewski, Daniel
|
|
|
38 |
10 |
p. 2159-2163
|
article
|
| 40 |
Reply to Letter to the Editor: Regarding “Outcomes of Ceramic-On-Ceramic Bearing Total Hip Arthroplasty: A Minimum 10-Year Follow-Up Study”
|
Alshammari, Malek O.
|
|
|
38 |
10 |
p. e40-e41
|
article
|
| 41 |
Symptomatic Benign Prostatic Hyperplasia: An Optimizable Risk Factor for Periprosthetic Joint Infection After Elective Primary Total Knee Arthroplasty
|
Jiang, Boyi
|
|
|
38 |
10 |
p. 2142-2148
|
article
|
| 42 |
Table of Contents
|
|
|
|
38 |
10 |
p. A7-A10
|
article
|
| 43 |
The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review
|
Karlin, Elan A.
|
|
|
38 |
10 |
p. 2085-2095
|
article
|
| 44 |
The Outcomes of Hip and Knee Fungal Periprosthetic Joint Infections: A Retrospective Cohort Study
|
McCulloch, Robert A.
|
|
|
38 |
10 |
p. 2183-2187.e1
|
article
|
| 45 |
The Viability of an Artificial Intelligence/Machine Learning Prediction Model to Determine Candidates for Knee Arthroplasty
|
Houserman, David J.
|
|
|
38 |
10 |
p. 2075-2080
|
article
|
| 46 |
Time Required for Planned and Unplanned Episodes of Care in Aseptic Hip and Knee Revision Arthroplasty
|
Hulsman, Luci
|
|
|
38 |
10 |
p. 2114-2119.e2
|
article
|
| 47 |
Tobacco and Cannabis Use Have a Synergistic Association on Infection Risk Following Total Knee Arthroplasty
|
Oster, Brittany
|
|
|
38 |
10 |
p. 2137-2141
|
article
|
| 48 |
Two-Stage Exchange Using a Total Femur Spacer in the Management of Periprosthetic Joint Infection – Spacer Complications and Implant Survivorships
|
Theil, Christoph
|
|
|
38 |
10 |
p. 2171-2176
|
article
|
| 49 |
Updates to the Submission Process: Continuous Improvement Process
|
Bellamy, Jaime L.
|
|
|
38 |
10 |
p. 1909
|
article
|
| 50 |
Validation of Machine Learning Model Performance in Predicting Blood Transfusion After Primary and Revision Total Hip Arthroplasty
|
Buddhiraju, Anirudh
|
|
|
38 |
10 |
p. 1959-1966
|
article
|
Journal description