A clinical study evaluated airflow phenotyping using standard polysomnographic signals to predict oral appliance therapy outcomes in obstructive sleep apnea. Airflow characteristics, including event depth and expiratory pinching, accurately differentiated responders from non-responders with 74% classification accuracy, supporting personalized treatment selection and reducing ineffective therapy trials.