Artificial Intelligence for Mental Health 4th International Conference, ICAIMH 2026, Merida, Mexico, July 1–3, 2026, Proceedings

.-
Physiological Signal Processing
.- Characterization and classification of EEG signals for depressive disorder diagnosis.- Dysregulated or not: a ML Classification Model of Emotional Dysregulation in Medical Residents Using Multimodal Wearable Data.- Towards an Intelligent Automated Alert System for Stress and Anxiety in Students.- Classification of Burnout Syndrome Based on EEG Signals: A Machine Learning Approach.-
Machine Learning
.- Understanding and Predicting the Second Victims Phenomenon in Healthcare through Audited and Explainable Machine Learning.- Data Mining for Early Detection of Child Violence Risk Factors in Preschool Children: A Study in Yucatan, Mexico.- An Exploratory Machine Learning Classification of Contrasted Depressive Symptom Groups Using Self-Reported Psychometric Measures in Mexican Undergraduate Students.-
Applications
.- Development and Usability Evaluation of an Artificial Intelligence-Based Application for Sleep Quality Characterization in University Students.- Evaluation of an AI-Based Mental Health Chatbot Through Multidimensional Expert Assessment: A Preliminary Study from Yucatán, Mexico.- Development and Preliminary Evaluation of a Chatbot for Guidance and Facilitation of Help-Seeking in Feeding and Eating Disorders.-
Novel AI Approaches
.- Analysis of Weekly Narratives using Natural Language Processing in Patients Undergoing Residential Rehabilitation: A Hybrid Approach for the Dynamic Assessment of Clinical Processes.- Unsupervised Deep Representation Learning for Clinical Stratification in Substance Use Disorders.- A Case-Based Counterfactual Framework for Interpreting Depression Risk Scores.-
Large Language Model Applications
.- Feasibility of LLM-Generated Empathy Micro-Training for Undergraduate Students: A Pilot Randomized Controlled Trial.- My LLM Needs a Therapist: Assessing the Impact of Psychological Abuse on Mathematical Reasoning and Sentiment in Gemma-4.- Token Mimicry or Therapeutic Competence? Testing LLM Rule-Following Against Hill’s Challenge Skill in Mental Health Support Scenarios.