Digital Mental Health

Digital mental health research focuses on developing and evaluating technology-based interventions to improve access and effectiveness of mental healthcare. Current efforts leverage large language models (LLMs) and machine learning algorithms to analyze data from smartphones and wearables, predicting affective states, personalizing interventions, and simulating self-reported data to reduce participant burden. This work aims to enhance engagement with digital therapies, improve the accuracy of mental health assessments, and ultimately provide more accessible and effective mental health support. The field's impact is significant, potentially transforming how mental health is diagnosed, treated, and monitored.