Prem N Ramkumar MD, MBA

About Prem N Ramkumar MD, MBA

Dr. Prem N. Ramkumar, MD, MBA, is a dual fellowship trained orthopaedic surgeon with focused expertise in hip and knee conditions, from Sports Medicine/Arthroscopy to Joint Replacement/Adult Reconstruction. Dr. Ramkumar treats patients at Long Beach Lakewood Orthopedic Institute serving Orange County, Los Angeles, Long Beach and surrounding Southern California areas. He received his medical education and surgical training at Cleveland Clinic, Harvard/Brigham and Women's Hospital, and Hospital for Special Surgery – the #1 ranked orthopaedic hospital in the country. He was privileged to serve as Assistant Team Physician to the NBA's Brooklyn Nets and MLS' Red Bulls during his time at Hospital for Special Surgery. With over 124 peer-reviewed publications, 11 textbook chapters, published 10 articles in Forbes (among other circulations), Dr. Ramkumar lectures nationally and internationally and serves as the Associate Editor for Digital and Emerging Technologies for Arthroscopy, the Journal for Arthroscopic and Related Surgery.

Epidemiology of acromioclavicular joint injuries in professional baseball: analysis from the Major League Baseball Health and Injury Tracking System

Epidemiology of acromioclavicular joint injuries in professional baseball: analysis from the Major League Baseball Health and Injury Tracking System

Machine Learning Outperforms Regression Analysis to Predict Next-Season Major League Baseball Player Injuries: Epidemiology and Validation of 13,982 Player-Years From Performance and Injury Profile Trends, 2000-2017

Machine Learning Outperforms Regression Analysis to Predict Next-Season Major League Baseball Player Injuries: Epidemiology and Validation of 13,982 Player-Years From Performance and Injury Profile Trends, 2000-2017

Machine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017

Machine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017

Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis

Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis

Response to letter to the editor on “Significance of external validation in clinical machine learning: let loose too early?”

Response to letter to the editor on “Significance of external validation in clinical machine learning: let loose too early?”
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