Psychiatry

Determinants of depressive symptoms in multinational middle-aged and older adults.

This study harnesses machine learning to dissect the complex socioeconomic determinants of depressio...

Impaired sensory-motor integration in children with attention-deficit/hyperactivity disorder during visual search.

OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder i...

Use of Artificial Intelligence in Psychiatric Research and Practice - A Qualitative Interview Study with Experts from Psychiatry, Computer Science and Philosophy in Germany.

Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.

Depression is a prevalent mental health disorder that significantly impacts well-being and qual...

Personalized ML-based wearable robot control improves impaired arm function.

Portable wearable robots offer promise for assisting people with upper limb disabilities. However, m...

Evaluation of an Artificial Intelligence and Online Psychotherapy Initiative to Improve Access and Efficiency in an Ambulatory Psychiatric Setting: Évaluation d'une initiative de psychothérapie en ligne basée sur l'intelligence artificielle visant à améliorer l'accès et l'efficacité en milieu psychiatrique ambulatoire.

ObjectivesThis study aimed to implement an artificial intelligence-assisted psychiatric triage progr...

Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.

BACKGROUND: Vascular depression (VaDep) is a prevalent affective disorder in older adults that signi...

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.

BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Altho...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Are clinical improvements in large language models a reality? Longitudinal comparisons of ChatGPT models and DeepSeek-R1 for psychiatric assessments and interventions.

BACKGROUND: Potential clinical applications for emerging large-language models (LLMs; e.g. ChatGPT) ...

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression.

-Methyl-d-aspartate receptors (NMDARs) are extensively distributed throughout the central nervous sy...

Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial.

BACKGROUND: Psychotherapy and antidepressant medications are first-line treatments for depression, a...

MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need...

Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.

BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due ...

Generative artificial intelligence in posttraumatic stress disorder treatment: Exploring five different use cases.

Posttraumatic stress disorder (PTSD) is a prevalent and debilitating condition, yet many individuals...

AI-based prediction of depression symptomatology in first-episode psychosis patients: insights from the EUFEST and RAISE-ETP clinical trials.

BACKGROUND: Depressive symptoms are highly prevalent in first-episode psychosis (FEP) and worsen cli...

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial.

Autism Spectrum Disorder presents significant challenges in social cognition, particularly in unders...

Diagnosis of Major Depressive Disorder Based on Multi-Granularity Brain Networks Fusion.

Major Depressive Disorder (MDD) is a common mental disorder, and making an early and accurate diagno...

Enhancing EEG-Based Schizophrenia Diagnosis with Explainable Multi-Branch Deep Learning.

Schizophrenia poses diagnostic challenges due to a lack of objective assessment. We propose MBSzEEGN...

Brain Oscillations in Bipolar Disorder: Insights from Quantitative EEG Studies.

IntroductionQuantitative electroencephalography (QEEG) is a neurophysiological tool that analyzes br...

Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study.

The advent of social media has led to an increased concern over its potential to propagate hate spee...