nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('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 |
artikel |
2 |
A Deep Learning Tool for Automated Landmark Annotation on Hip and Pelvis Radiographs
|
Mulford, Kellen L. |
|
|
38 |
10 |
p. 2024-2031.e1 |
artikel |
3 |
An Overview of Machine Learning in Orthopedic Surgery: An Educational Paper
|
Padash, Sirwa |
|
|
38 |
10 |
p. 1938-1942 |
artikel |
4 |
Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges
|
Nugen, Fred |
|
|
38 |
10 |
p. 1948-1953 |
artikel |
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 |
artikel |
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 |
artikel |
7 |
Artificially Intelligent Three-Dimensionally-Printed Patient-Specific Instrument Improves Total Hip Arthroplasty Accuracy
|
Chen, Xi |
|
|
38 |
10 |
p. 2060-2067.e1 |
artikel |
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 |
artikel |
9 |
Conflict of Interest Statement
|
|
|
|
38 |
10 |
p. A13 |
artikel |
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 |
artikel |
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 |
artikel |
12 |
Deep Learning Approach for Diagnosing Early Osteonecrosis of the Femoral Head Based on Magnetic Resonance Imaging
|
Shen, Xianyue |
|
|
38 |
10 |
p. 2044-2050 |
artikel |
13 |
Deep Learning: Orthopaedic Research Evolves for the Future
|
Taunton, Michael J. |
|
|
38 |
10 |
p. 1919-1920 |
artikel |
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 |
artikel |
15 |
Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data
|
Khosravi, Bardia |
|
|
38 |
10 |
p. 1943-1947 |
artikel |
16 |
Does Automated Impaction Improve Femoral Component Sizing and Alignment in Total Hip Arthroplasty?
|
Thalody, Hope S. |
|
|
38 |
10 |
p. 2154-2158 |
artikel |
17 |
Don’t Miss It! 2022 AAHKS Proceedings is Online!
|
Bellamy, Jaime L. |
|
|
38 |
10 |
p. 1911-1918 |
artikel |
18 |
Editorial Board
|
|
|
|
38 |
10 |
p. A1-A2 |
artikel |
19 |
Editorial Board Changes: A Couple Welcomes and a Farewell
|
Bellamy, Jaime L. |
|
|
38 |
10 |
p. 1910 |
artikel |
20 |
Educational Overview of the Concept and Application of Computer Vision in Arthroplasty
|
Vera-Garcia, Diana V. |
|
|
38 |
10 |
p. 1954-1958 |
artikel |
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 |
artikel |
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 |
artikel |
23 |
Failed 2-Stage Revision Knee Arthroplasty for Periprosthetic Joint Infection—Patient Characteristics and Outcomes
|
Shichman, Ittai |
|
|
38 |
10 |
p. 2177-2182 |
artikel |
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 |
artikel |
25 |
Go Big or Go Home: Obesity and Total Joint Arthroplasty
|
Blankstein, Michael |
|
|
38 |
10 |
p. 1928-1937 |
artikel |
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 |
artikel |
27 |
Identifying Modifiable Cost Drivers of Outpatient Unicompartmental Knee Arthroplasty With Machine Learning
|
Salmons, Harold I. |
|
|
38 |
10 |
p. 2051-2059.e2 |
artikel |
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 |
artikel |
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 |
artikel |
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 |
artikel |
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 |
artikel |
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 |
artikel |
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 |
artikel |
34 |
Masthead
|
|
|
|
38 |
10 |
p. A5 |
artikel |
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 |
artikel |
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 |
artikel |
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 |
artikel |
38 |
Prediction of Change in Pelvic Tilt After Total Hip Arthroplasty Using Machine Learning
|
Fujii, Junpei |
|
|
38 |
10 |
p. 2009-2016.e3 |
artikel |
39 |
Primary Total Hip Arthroplasty in Dialysis-Dependent Patients: 35% Mortality at 5 years
|
Karczewski, Daniel |
|
|
38 |
10 |
p. 2159-2163 |
artikel |
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 |
artikel |
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 |
artikel |
42 |
Table of Contents
|
|
|
|
38 |
10 |
p. A7-A10 |
artikel |
43 |
The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review
|
Karlin, Elan A. |
|
|
38 |
10 |
p. 2085-2095 |
artikel |
44 |
The Outcomes of Hip and Knee Fungal Periprosthetic Joint Infections: A Retrospective Cohort Study
|
McCulloch, Robert A. |
|
|
38 |
10 |
p. 2183-2187.e1 |
artikel |
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 |
artikel |
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 |
artikel |
47 |
Tobacco and Cannabis Use Have a Synergistic Association on Infection Risk Following Total Knee Arthroplasty
|
Oster, Brittany |
|
|
38 |
10 |
p. 2137-2141 |
artikel |
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 |
artikel |
49 |
Updates to the Submission Process: Continuous Improvement Process
|
Bellamy, Jaime L. |
|
|
38 |
10 |
p. 1909 |
artikel |
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 |
artikel |