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This paper is in the following e-collection/theme issue:

Foundations of AI (91) Clinical Informatics (2410) Wearable Devices and Sensors (1669) Machine Learning (3365) Physician and Healthcare Worker Burnout (221) Research Methodology - AI (209)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57025, first published .
Doctor looking stressed at computer, hand on forehead

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

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

Authors of this article:

Saima Alam1 Author Orcid Image ;   Mohammad Arif Ul Alam2, 3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Jiang W, Zhou Q, Liu Z, Ma C, Deng H, Zhang X. Assessment models for driving comfort and fatigue status based on heart rate variability. Traffic Injury Prevention 2026:1 View
  2. Rehman H, Ayyasamy R, Nadeem M, Subramaniam S, Shaikh F. Explainable AI for resource-aware intervention prioritization of digital burnout in healthcare workplaces. Health Information Science and Systems 2026;14(1) View