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Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71374, first published .
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Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study

Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study

Journals

  1. Morales A, Reis T, Panisson A, Ourique F, Sene I. Affective Intelligent Systems in Healthcare: A Systematic Review. Technologies 2026;14(3):188 View
  2. García-Estrada J, Martínez-Fernández D, Pérez-Alcaraz I, Mondragón-Gomar C, Aguilar-García I, Luquin S, Fernández-Quezada D. Automated Facial Emotion Recognition System Detects Altered Emotional Processing During Craving Induction in Individuals with Substance Use Disorder. Healthcare 2026;14(10):1422 View
  3. Insalaco W, Clapham C, Gelino B, Barney J, Billings B, Ellis J, Hobelmann J, Huhn A, Zipunnikov V, Rabinowitz J. Tracking the longitudinal course of physiologic and mental health functioning among individuals in substance use disorder treatment. Frontiers in Psychiatry 2026;17 View