As a field, mental healthcare is faced with major challenges as it attempts to close the huge gap between those who need services and those who receive services. In recent decades, technological advances have provided exciting new resources in this b...
The article by Moizard and Geoffroy highlights the importance of an integrated approach in psychiatry, emphasizing the need to move beyond the dichotomy between the somatic and the psychic. In their commentary, the authors advocated for precision psy...
Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated with one another, and associate with viral non-suppression independently; their joint association with viral non-suppression may be under-studied bec...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts, categories, and their relationships. While widely adopted in biomedicine, ontologies remain largely absent in mental health research and clinical car...
Studies in health technology and informatics
Aug 7, 2025
Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivotal but challenging, particularly given HIPAA constraints. We investigate locally deployable small LLMs-Mistral-7B, Llama-3-8B, and Gemma-7B-for ADR ext...
OBJECTIVES: This study investigates whether reducing mental illness stigma, enhancing help-seeking efficacy, and maintaining positive mental health mediate the relationship between the recognition of mental disorders and help-seeking attitudes.
Journal of forensic and legal medicine
Jul 1, 2025
This narrative review explores the transformative role of artificial intelligence (AI) in forensic mental health, focusing on its applications, benefits, limitations, and ethical considerations. AI's capabilities, particularly in areas such as risk a...
Journal of consulting and clinical psychology
Jul 1, 2025
OBJECTIVE: This study aims at improving dropout and treatment nonresponse prevention by optimizing the performance of models for their prediction through the integration of item-level data.
BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, with both false positives and false negatives resulting in treatment delay. We employed a whole-brain machine learning approach focusing on gray matter v...
Individuals with mental illness face significant challenges in achieving health equity due to social and structural determinants, fragmented healthcare systems, social stigmas, and disparities in digital health access. As advocates for individuals wi...
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