Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Predicting depressive symptoms through social support: a machine learning approach in military populations.

Perceived Social support has been consistently shown to reduce depressive symptoms among military p...

Generative AI-Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial.

BACKGROUND: Colleges have turned to digital mental health interventions to meet the increasing menta...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others...

Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes.

Insect-computer hybrid robots offer strong potential for navigating complex terrains. This study ide...

Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into health care, including psyc...

Evaluating the impact of an AI-powered chatbot on epilepsy education and stigma reduction: A pre-post intervention study using EpiloBot.

OBJECTIVE: Effective epilepsy management requires accurate epilepsy knowledge, active patient engage...

Wavelet-Attention deep model for pediatric ADHD diagnosis via EEG.

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in childr...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

Factors that influence trust and willingness to use generative AI for health information: A cross-sectional study.

OBJECTIVE: Generative AI is increasingly used to provide health-related information in addition to o...

From Challenges to Innovations: Expert Insights in Pediatric Healthcare Design.

Pediatric healthcare design increasingly addresses clinical and psychosocial needs, highlighting th...

Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.

Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatm...

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

This study aims to identify depressive risks in elderly individuals with subjective cognitive declin...

Ambulatory physiological state dynamics predict proximal behavioral markers of affect regulation in everyday life.

Human physiology reflects the body's capacity for self-regulation that is crucial for flexible adapt...

The virtual personality model: Toward a dynamic structured motivational systems framework for understanding personality disorders.

Dissatisfaction with the (2022) spurred attempts to reconceptualize personality disorders (PDs): Bu...

High-frequency oscillations in the mammalian brain after ketamine and other NMDA receptor antagonists.

Subanesthetic doses of ketamine produce complex neuropsychiatric effects, which include rapid psycho...

Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework.

The integration of computational methods into psychiatry presents profound ethical challenges that e...

A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.

Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders ...

Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and ...

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