Prediction of Deltoid Muscle Force in Reverse Total Shoulder Arthroplasty Using a Deep Learning Model | Synapse
June 4, 2026Open Access
Prediction of Deltoid Muscle Force in Reverse Total Shoulder Arthroplasty Using a Deep Learning Model
Key Points
This research aims to predict deltoid muscle force in patients undergoing reverse total shoulder arthroplasty using a deep learning model.
A fully connected deep learning model was trained with patient-specific inputs to map them to predicted deltoid forces.
The model focused on predictions at 60° of abduction.
Bayesian optimization was utilized to enhance the model's performance.
The deep learning model effectively predicted deltoid forces based on patient-specific data.
Results demonstrated significant accuracy in force predictions, supporting its clinical relevance.
Abstract
A fully connected DLM was trained to map patientspecific inputs to MSM-predicted deltoid forces at 60° of abduction.Bayesian optimization was conducted