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A cluster of nosocomial Lassa fever cases in a tertiary health facility in Nigeria: Description and lessons learned, 2018

International journal of infectious diseases, 2019-06, Vol.83, p.88-94

2019

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Preoperative Short Form Health Survey Score Is Predictive of Return to Play and Minimal Clinically Important Difference at a Minimum 2-Year Follow-up After Anterior Cruciate Ligament Reconstruction

The American journal of sports medicine, 2017-10, Vol.45 (12), p.2784-2790

2017

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Unsupervised machine learning methods and emerging applications in healthcare

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-02, Vol.31 (2), p.376-381

2023

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Supervised machine learning and associated algorithms: applications in orthopedic surgery

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-04, Vol.31 (4), p.1196-1202

2023

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How Much Do Psychological Factors Affect Lack of Return to Play After Anterior Cruciate Ligament Reconstruction? A Systematic Review

Orthopaedic Journal of Sports Medicine, 2019-05, Vol.7 (5), p.2325967119845313-2325967119845313

2019

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Analysis of Outcomes for High Tibial Osteotomies Performed With Cartilage Restoration Techniques

Arthroscopy, 2017-02, Vol.33 (2), p.486-492

2017

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What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention?

The American journal of sports medicine, 2020-04, Vol.48 (5), p.1056-1062

2020

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Anterior Cruciate Ligament Repair Outcomes: An Updated Systematic Review of Recent Literature

Arthroscopy, 2019-07, Vol.35 (7), p.2233-2247

2019

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A guide to appropriately planning and conducting meta-analyses: part 2—effect size estimation, heterogeneity and analytic approaches

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-05, Vol.31 (5), p.1629-1634

2023

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Natural language processing: using artificial intelligence to understand human language in orthopedics

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-04, Vol.31 (4), p.1203-1211

2023

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Sports Medicine and Artificial Intelligence: A Primer

The American journal of sports medicine, 2022-03, Vol.50 (4), p.1166-1174

2022

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A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023-02, Vol.31 (2), p.382-389

2023

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Choosing the appropriate measure of central tendency: mean, median, or mode?

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023, Vol.31 (1), p.12-15

2023

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Multivariable regression: understanding one of medicine’s most fundamental statistical tools

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023, Vol.31 (1), p.7-11

2023

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Clinical and Research Medical Applications of Artificial Intelligence

Arthroscopy, 2021-05, Vol.37 (5), p.1694-1697

2021

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Risk Factors for Failure After Osteochondral Allograft Transplantation of the Knee: A Systematic Review and Exploratory Meta-analysis

The American journal of sports medicine, 2023-04, Vol.51 (5), p.1356-1367

2023

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Effect of Preoperative Imaging and Patient Factors on Clinically Meaningful Outcomes and Quality of Life After Osteochondral Allograft Transplantation: A Machine Learning Analysis of Cartilage Defects of the Knee

The American journal of sports medicine, 2021-07, Vol.49 (8), p.2177-2186

2021

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Procedure length is independently associated with overnight hospital stay and 30-day readmission following anterior cruciate ligament reconstruction

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2020-02, Vol.28 (2), p.432-438

2020

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Fragility Part I: a guide to understanding statistical power

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022-12, Vol.30 (12), p.3924-3928

2022

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Regarding “Editorial Commentary: Artificial Intelligence in Sports Medicine Diagnosis Needs to Improve”

Arthroscopy, 2021-05, Vol.37 (5), p.1365-1367

2021

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Association Between Preoperative Mental Health and Clinically Meaningful Outcomes After Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis

The American journal of sports medicine, 2021-03, Vol.49 (4), p.948-957

2021

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Picking apart p values: common problems and points of confusion

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022-10, Vol.30 (10), p.3245-3248

2022

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The development and deployment of machine learning models

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022-12, Vol.30 (12), p.3917-3923

2022

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Comparative Influence of Sport Type on Outcome After Anterior Cruciate Ligament Reconstruction at Minimum 2-Year Follow-up

Arthroscopy, 2017-02, Vol.33 (2), p.415-421

2017

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A cluster of nosocomial Lassa fever cases in a tertiary health facility in Nigeria: Description and lessons learned, 2018

Preoperative Short Form Health Survey Score Is Predictive of Return to Play and Minimal Clinically Important Difference at a Minimum 2-Year Follow-up After Anterior Cruciate Ligament Reconstruction

Unsupervised machine learning methods and emerging applications in healthcare

Supervised machine learning and associated algorithms: applications in orthopedic surgery

How Much Do Psychological Factors Affect Lack of Return to Play After Anterior Cruciate Ligament Reconstruction? A Systematic Review

Analysis of Outcomes for High Tibial Osteotomies Performed With Cartilage Restoration Techniques

What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention?

Anterior Cruciate Ligament Repair Outcomes: An Updated Systematic Review of Recent Literature

A guide to appropriately planning and conducting meta-analyses: part 2—effect size estimation, heterogeneity and analytic approaches

Natural language processing: using artificial intelligence to understand human language in orthopedics

Sports Medicine and Artificial Intelligence: A Primer

A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I

Choosing the appropriate measure of central tendency: mean, median, or mode?

Multivariable regression: understanding one of medicine’s most fundamental statistical tools

Clinical and Research Medical Applications of Artificial Intelligence

Epidemiological description of and response to a large yellow fever outbreak in Edo state Nigeria, September 2018 - January 2019

Risk Factors for Failure After Osteochondral Allograft Transplantation of the Knee: A Systematic Review and Exploratory Meta-analysis

Effect of Preoperative Imaging and Patient Factors on Clinically Meaningful Outcomes and Quality of Life After Osteochondral Allograft Transplantation: A Machine Learning Analysis of Cartilage Defects of the Knee

Procedure length is independently associated with overnight hospital stay and 30-day readmission following anterior cruciate ligament reconstruction

Fragility Part I: a guide to understanding statistical power

Regarding “Editorial Commentary: Artificial Intelligence in Sports Medicine Diagnosis Needs to Improve”

Association Between Preoperative Mental Health and Clinically Meaningful Outcomes After Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis

Picking apart p values: common problems and points of confusion

The development and deployment of machine learning models

Comparative Influence of Sport Type on Outcome After Anterior Cruciate Ligament Reconstruction at Minimum 2-Year Follow-up

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