Psychiatry

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

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Assessing the impact of AI on physician decision-making for mental health treatment in primary care.

AI models may soon be poised to recommend mental health treatments or referrals in primary care, yet...

Improved serotonin neuron-specific viral vectors applicable for optogenetic manipulation and recording.

Serotonin neurons are central to the pathophysiology and therapeutics of mental disorders, including...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often re...

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study.

OBJECTIVE: Classifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Res...

Tailored pharmacotherapy monitoring in Parkinson's disease and Schizophrenia using a rapid and sensitive α-Synuclein assay.

BACKGROUND: While Parkinson's disease is a low dopamine neurodegenerative disorder, Schizophrenia is...

Systemic therapy informed self-help and paraprofessional training in a naturalistic setting: study protocol of a digital randomised trial.

BACKGROUND: Multiple studies have shown the efficacy of Systemic Psychotherapy (ST) approaches as a ...

Exploring Therapists' Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study.

BACKGROUND: The potential for digital interventions in self-management and treatment of mild to mode...

Incorporating AI Into Military Behavioral Health: A Narrative Review.

INTRODUCTION: Concerns regarding suicide rates and declining mental health among service members hig...

WavFace: A Multimodal Transformer-Based Model for Depression Screening.

Depression, a prevalent mental health disorder with severe health and economic consequences, can be ...

AI-driven early diagnosis of specific mental disorders: a comprehensive study.

One of the areas where artificial intelligence (AI) technologies are used is the detection and diagn...

Effective Autism Classification Through Grasping Kinematics.

Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alon...

The Applications of Large Language Models in Mental Health: Scoping Review.

BACKGROUND: Mental health is emerging as an increasingly prevalent public issue globally. There is a...

How digital therapeutic alliances influence the perceived helpfulness of online mental health Q&A: An explainable machine learning approach.

OBJECTIVE: This study investigates the role of digital therapeutic alliance (DTA) in predicting and ...

A depression detection approach leveraging transfer learning with single-channel EEG.

Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods co...

Visualizing functional network connectivity differences using an explainable machine-learning method.

. Functional network connectivity (FNC) estimated from resting-state functional magnetic resonance i...

Predictors of psychotic experiences among adolescents with obsessive-compulsive symptoms: A data-driven machine learning approach.

AIM: Prediction of future psychosis in individuals with obsessive and compulsive (OC) symptoms is cr...

The Relationship Between Anxiety and Readiness Levels Regarding Artificial Intelligence in Midwives: An Intergenerational Comparative Study.

This study aimed to compare Generations X, Y, and Z in terms of anxiety and readiness levels regardi...

Mediating effect of AI attitudes and AI literacy on the relationship between career self-efficacy and job-seeking anxiety.

As artificial intelligence (AI) technology quickly grows, college students have new worries and fear...

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