AIMC Topic: Anxiety

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Easing the Burden on Caregivers- Applications of Artificial Intelligence for Physicians and Caregivers of Children with Cleft Lip and Palate.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectiveMany caregivers of children with cleft lip and palate experience a high level of anxiety throughout their child's medical and surgical care. We aim to evaluate artificial intelligence (AI) as a tool to mitigate these feelings and can aid cli...

Reliability and validity of artificial intelligence-based innovative digital scale for the assessment of anxiety in children.

European journal of paediatric dentistry
AIM: To assess the reliability and validity of an AI-based, innovative digital scale for the assessment of dental anxiety in children.

Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.

PloS one
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapted treatment delivery and improve outcomes. This study seeks to develop a state-of-the-art deep-learn...

Effects of Prior Robot Experience, Speed, and Proximity on Psychosocial Reactions to a Soft Growing Robot.

IISE transactions on occupational ergonomics and human factors
OCCUPATIONAL APPLICATIONSAfter viewing video vignettes of human interactions with a novel soft growing robot, we found that participants reported fewer perceived safety hazards, less anxiety and fear about robots, reduced social hesitancy about human...

American public opinion on artificial intelligence in healthcare.

PloS one
Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American ...

Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, tim...

Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.

Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach.

Development and psychopathology
Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their long-term psychological adaptation and its predictors from multiple aspects of their life. This study ...

Exploring intellectual humility through the lens of artificial intelligence: Top terms, features and a predictive model.

Acta psychologica
Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH - e.g. through journalling - a...