Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation Study

EMBRACE provides a clinically explainable and actionable solution for early burnout detection in resident physicians, leveraging advanced ML techniques and SHAP-based explanations. Validation of proprietary and publicly available datasets demonstrates their robustness and generalizability. Future research may explore scaling the model across different clinical environments and assessing its long-term impact on health care outcomes and physician well-being.