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, 2000-2017Machine 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
With 99% Accuracy, AI Identifies Model and Mfg In-VivoPrem N Ramkumar MD, MBA
Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Knee
Prem N Ramkumar MD, MBAMachine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017
Prem N Ramkumar MD, MBA
Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis
Prem N Ramkumar MD, MBA
Clinical and Research Medical Applications of Artificial IntelligencePrem N Ramkumar MD, MBA
Response to letter to the editor on “Significance of external validation in clinical machine learning: let loose too early?”
Prem N Ramkumar MD, MBA
Approach to the Patient With Failed Hip Arthroscopy for Labral Tears and Femoroacetabular Impingement
Prem N Ramkumar MD, MBA
The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplastyThe value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty
The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty
Prem N Ramkumar MD, MBA
Artificial Intelligence and Orthopaedics: An Introduction for CliniciansPrem N Ramkumar MD, MBA
