Interpretable machine learning model for predicting the risk of dysphagia in patients after cardiac surgery

The machine learning model developed in this study demonstrated the ability to accurately identify patients at high risk for postoperative dysphagia, providing a robust foundation for implementing targeted preventive interventions in clinical practice. Integration of this validated machine learning model into standard clinical workflows holds significant promise for reducing the incidence of dysphagia-related complications and improving overall postoperative patient outcomes.