Latest AI and machine learning research in psychiatry for healthcare professionals.
OBJECTIVES: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technological contexts and examine its relevance to digital health readiness and engagement. METHODS: Using an online community sample (n=433), exploratory factor analysis was conducted to examine the factor structure of the revised item pool. Items were refined through consultation with Patient and Public In...
Higher-level action interpretation, such as inferring underlying intentions and predicting future actions, requires the integration of conceptual action information (e.g. "opening") with semantic knowledge about persons and objects (e.g. "my friend Anna", "pizza box"). However, how the neural systems for action and object recognition and memory interact with each other to form the basis for inferr...
Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments are limited in tracking these change...
PURPOSE: Efficiently detecting obstetric outcomes, such as preterm birth or mode of delivery, is crucial for enhancing mother and newborn health. Proa...
Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in autism spectrum disorder (ASD), affecting neurode...
INTRODUCTION: First episode psychosis (FEP) refers to a variable clinical presentation of the onset of psychotic symptoms and represents a key point i...
BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wear...
BACKGROUND: Prior biological knowledge and phenotype information can help identify disease genes from whole genome/exome sequencing studies, but how b...
Chronic pain (CP) disproportionately affects underserved populations who often experience barriers to evidence-based nonpharmacologic treatments. Digi...
BACKGROUND: Peri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental window for the emergence of psychiatric symptoms, yet s...
BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights the roles of demographic, lifestyle, and comorbid...
Excessive Instagram use has been linked to negative effects on psychological well-being, particularly through Social Comparison, Self-Esteem, and Anxi...
Demand is growing for safe, effective AI systems and digital mental health tools as users increasingly turn to them for support. In this News and Pers...
INTRODUCTION: Cardiovascular disease (CVD) remains the leading global cause of mortality. To advance prevention, the American Heart Association introd...
BACKGROUND: Despite the significant benefits of artificial intelligence (AI) in mental health, real-world implementation remains limited, making it es...
BACKGROUND: Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been shown to reduce burnout; however, most digital CB...
Epilepsy is a chronic condition that requires ongoing self-management, including medication adherence, trigger control, lifestyle regulation, and psyc...
BACKGROUND: Sleep problems are among the most prevalent health complaints during adolescence and show a reciprocal relationship with the development o...
BACKGROUND: Depression is a major global public health burden, and environmental pollutants are increasingly associated with depressive symptoms. Vola...
Conversational AI is now deeply embedded in adolescents' mental health help-seeking and emotional lives, creating both risks and a rare population hea...