Latest AI and machine learning research in psychiatry for healthcare professionals.
PURPOSE: Young people have rapidly adopted generative artificial intelligence (genAI) technology, yet little is known about how genAI use relates to mental health. This observational study examined associations between genAI use motivations-social-emotional support, task automation, learning/exploration, and dating/sexuality-and internalizing symptoms, as well as sociodemographic differences. METH...
PURPOSE: To develop and validate machine learning models to predict post-tonsillectomy hemorrhage. METHODS: This was a machine learning analysis of a cohort of patients included in the Norwegian tonsil registry in Norway from 03.01.2017 to 01.05.2025. A perioperative assessment was used to describe the type of surgery performed, the surgical technique used, and the methods used to achieve hemostas...
Small animal phobia (SAP) is an anxiety disorder characterized by an intense fear triggered by small animals. Existing studies on SAP have primarily u...
IMPORTANCE: The rapid expansion of artificial intelligence (AI) chatbots has coincided with a persistent youth mental health crisis in the US, raising...
BACKGROUND: The demand for mental health treatment is increasing, while the availability of treatment remains insufficient to meet the rising demand. ...
BACKGROUND: Chemotherapy-related toxicities often lead to unscheduled health care use and diminished quality of life. Digital health interventions, su...
BACKGROUND: Depressive symptoms are linked to nutritional vulnerability and functional decline in aging populations, but their relationships with nutr...
INTRODUCTION: Ensuring the health of agricultural workers, the world's largest labour force, is key for sustainable food production and progress towar...
BACKGROUND: Mitochondrial dysfunction has been implicated in the pathogenesis of depression. Major depressive disorder (MDD) is a prevalent condition ...
Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, such as cardio-kidney-metabolic (CKM) issues linked ...
OBJECTIVE: Memory function underlies mental and behavioral health. While the role of the central nervous system (CNS) during episodic memory encoding ...
This study investigates secondary school students' perceptions of generative AI (GenAI) as virtual mental health therapists within educational setting...
OBJECTIVES: Life satisfaction is an essential indicator of quality of life, and enhancing it can contribute to individual well-being strategies. Becau...
Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary ...
It is estimated that, globally, the mean point prevalence of diagnosable mental disorders in children and adolescents is higher than 11%, and around h...
BACKGROUND: Physically inactive older adults represent a high-risk group for depression. However, whether dietary antioxidant intake profiles can help...
College students face a higher risk of depression than their non-college peers. However, the predictors of depressive symptoms among college students ...
UNLABELLED: ▒: Although chronic pain is common after traumatic SCI, prognostic models have traditionally prioritized clinical injury characteristics, ...
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cogniti...
Core body temperature (CBT) reflects a physiological state that may correspond with variation in social perception. In two exploratory studies, we exa...