In this presentation, C. Mahony Reategui-Rivera, MD, a PhD candidate at the University of Utah, presents a systematic review and meta-analysis on the effectiveness of self-administered interventions using Natural Language Processing (NLP) models to reduce depressive and anxious symptoms. The study shows that NLP-based interventions are promising tools for scalable and accessible mental health support, though further research is needed to refine and expand these results.

About Mahony Reategui-Rivera: Mahony Reategui-Rivera is a PhD candidate at the University of Utah in the Department of Biomedical Informatics. His work focuses on the intersection of mental health and informatics, with a particular interest in using technology to improve mental health care globally. Christian has also contributed to the International Conference on Artificial Intelligence in Medicine and has been elected as the Trainee Representative for the Mental Health Informatics Working Group of AMIA.