AIMC Topic: Anxiety

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Predictive modelling of clinically significant depressive symptoms after coronary artery bypass graft surgery: protocol for a multicentre observational study in two Swiss hospitals (the PsyCor study).

BMJ open
INTRODUCTION: Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients experience psychological distress following surgery, with...

Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling.

BMC public health
BACKGROUND: Although the Screen for Child Anxiety Related Emotional Disorders (SCARED) is a widely used tool for assessing anxiety, its 41-item format makes it a time-intensive method for identifying children and adolescents at high risk of anxiety. ...

Using deep learning to predict internalizing problems from brain structure in youth.

Translational psychiatry
Internalizing problems (e.g., anxiety and depression) are associated with a wide range of adverse outcomes. While some predictors of internalizing problems are known (e.g., their frequent co-occurrence with neurodevelopmental (ND) conditions), the bi...

Psychological safety and trust as drivers of teachers' continued use of AI tools in classrooms.

Scientific reports
Despite AI tools hold significant potential to enhance English language teaching in primary education, their sustained adoption by teachers remains inconsistent. A key gap in current research is the lack of understanding of how psychological factors ...

Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes.

Translational psychiatry
Understanding how individual differences influence vulnerability to disease and responses to pharmacological treatments represents one of the main challenges in behavioral neuroscience. Nevertheless, inter-individual variability and sex-specific patt...

Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis.

Translational psychiatry
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident...

The effects of multi-sensory public seating on emotion regulation in youth communities.

Scientific reports
As urban housing pressures intensify, co-living communities are emerging as a new residential model for young adults. However, the high prevalence of depression and anxiety among this population highlights the potential value of incorporating emotion...

Childhood trauma and adolescent anxiety: Uncovering emotion regulation pathways through integrated machine learning and traditional statistics.

Psychiatry research
Childhood trauma constitutes a significant risk factor for adolescent anxiety, with emotion regulation playing a critical role. This large-scale longitudinal study (N = 2461 at baseline, with external validation) examined differential relationships b...