AI Medical Compendium Journal:
Frontiers in psychiatry

Showing 21 to 30 of 49 articles

Applied pharmacogenetics to predict response to treatment of first psychotic episode: study protocol.

Frontiers in psychiatry
The application of personalized medicine in patients with first-episode psychosis (FEP) requires tools for classifying patients according to their response to treatment, considering both treatment efficacy and toxicity. However, several limitations h...

Neural correlates of facial recognition deficits in autism spectrum disorder: a comprehensive review.

Frontiers in psychiatry
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by significant impairments in social interaction, often manifested in facial recognition deficits. These deficits hinder individuals with ASD from recognizing facial ident...

Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD.

Frontiers in psychiatry
BACKGROUND: Mental health issues pose a significant challenge for medical providers and the general public. The World Health Organization predicts that by 2030, mental health problems will become the leading cause of global disease burden, highlighti...

Beyond clinical observations: a scoping review of AI-detectable observable cues in borderline personality disorder.

Frontiers in psychiatry
Borderline Personality Disorder (BPD), impacting approximately 2% of adults worldwide, presents a formidable challenge in psychiatric diagnostics. Often underdiagnosed or misdiagnosed, BPD is associated with high morbidity and mortality. This scoping...

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach.

Frontiers in psychiatry
BACKGROUND: Early detection of anxiety symptoms can support early intervention and may help reduce the burden of disease in later life in the elderly with abdominal obesity, thereby increasing the chances of healthy aging. The objective of this resea...

Prediction of cognitive impairment using higher order item response theory and machine learning models.

Frontiers in psychiatry
Timely detection of cognitive impairment (CI) is critical for the wellbeing of elderly individuals. The MyCog assessment employs two validated iPad-based measures from the NIH Toolbox for Assessment of Neurological and Behavioral Function (NIH Toolbo...

Automated analysis of speech as a marker of sub-clinical psychotic experiences.

Frontiers in psychiatry
Automated speech analysis techniques, when combined with artificial intelligence and machine learning, show potential in capturing and predicting a wide range of psychosis symptoms, garnering attention from researchers. These techniques hold promise ...

Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry.

Frontiers in psychiatry
In the setting of underdiagnosed and undertreated perinatal depression (PD), Artificial intelligence (AI) solutions are poised to help predict and treat PD. In the near future, perinatal patients may interact with AI during clinical decision-making, ...

Integrating exploration and prediction in computational psychotherapy science: proof of concept.

Frontiers in psychiatry
INTRODUCTION: Psychotherapy research has long preferred explanatory over predictive models. As a result, psychotherapy research is currently limited in the variability that can be accounted for in the process and outcome of treatment. The present stu...

Machine learning research based on diffusion tensor images to distinguish between anorexia nervosa and bulimia nervosa.

Frontiers in psychiatry
BACKGROUND: Anorexia nervosa (AN) and bulimia nervosa (BN), two subtypes of eating disorders, often present diagnostic challenges due to their overlapping symptoms. Machine learning has proven its capacity to improve group classification without requ...