AIMC Journal:
PLOS mental health

Generative artificial intelligence (GenAI), including large language models and large multimodal models, is increasingly used to support psychological assessment and digital mental health measurement. This review proposes a lifecycle framework for ev...

Early identification of individuals at risk of developing psychosis enables timely intervention and better clinical outcomes. Current approach relies on clinical assessments, such as the Comprehensive Assessment for At‑Risk Mental States (CAARMS), wh...

Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet disparities in treatment discontinuation persist. This study aims to identify and quantify disparities in buprenorphine treatment retention using a machine l...

Employee Assistance Program (EAP)s provide critical mental health support, yet utilization remains low in both Canada and the United States. Although qualitative studies have examined general barriers to EAP use, few have compared country-specific pe...

Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise, unemployment and social isolation. Machine learning techniques offer a powerful method for analyzin...