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526 “Fairness” Analysis of Machine Learning Models Predicting Readmission and Prolonged Length of Stay Following Total Knee Arthroplasty in Underrepresented Populations

527 Predicting PROMs, Satisfaction, Healthcare Utilization, and Return to Work After TKA Using Machine Learning: A 14,900-Patient Study

528 Determining the Mechanical Axis of the Femur from a Standard Anteroposterior Knee Radiograph with Deep Learning

529 Machine Learning for Revision Total Knee Arthroplasty: Identifying Patient-Specific Risk Factors for Adverse Outcomes

530 Enhanced Decision Making in Arthroplasty with Retrieval-Augmented Generation Enabled Large Language Models

Author:PLABAN CHOWDHURY  

Event Title:Paper Presentations  

Event Type:Paper Presentations  

Category-Classification:Adult Reconstruction Knee  

Event Day:Thursday, March 5