Psychiatry

Embodied Intelligence Applications in Health Care Populations: Scoping Review.

BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with users and their environments-has been increasingly applied in health care. However, the evidence base remains fragmented because of inconsistent terminology, diverse embodiment forms, and limited synthesis of application domains, target populations,...

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral therapy (CBT) demonstrates efficacy for anxiety and depression, treatment gaps persist due to access barriers and insufficient between-session support. Large language model (LLM) chatbots could improve and scale CBT delivery. However, the scientific ...

Understanding the importance of social and environmental stressors in predicting maternal sleep quality during late pregnancy.

Poor pregnancy sleep quality has been linked to adverse pregnancy and birth outcomes, particularly in late pregnancy when sleep symptoms worsen. We ai...

Neural abnormalities in cognitive subprocesses of emotional conflict control in bipolar II disorder: Evidence from ERPs and brain functional networks.

Patients with bipolar disorder (BD) exhibit deficits in emotional conflict control. These abnormalities may be related to alterations in distinct cogn...

On the value of radiomics in addition to clinical measures in emotional conflict fMRI for predicting sertraline response in major depressive disorder.

Most patients with major depressive disorder (MDD) do not respond to first-line treatment, and robust predictors of individual outcomes are lacking. F...

Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks.

Brain age prediction has gained significant attention due to its strong correlation with neurological and cognitive disorders. The discrepancy between...

ADHD medications and preadolescent brain structure: patterns of cortical attenuation from the ABCD study.

Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in the U.S. Amphetamine (AMP), methylphenidate (MPH), a...

The effectiveness of CBT-based NLP-enabled AI conversational agents for mental health intervention: a systematic review and meta-analysis.

Natural language processing (NLP)-enabled artificial intelligence (AI) conversational agents (CAs) are increasingly adopted in digital mental health i...

Development and validation of a deep learning model for automatic detection of depressed skull fractures from CT scans.

BACKGROUND: Depressed skull fractures with bone depression greater than in one cortex might cause major consequences and require surgery in traumatic ...

Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots.

As generative artificial intelligence chatbots become embedded in everyday life, concerns about their psychological risks are growing. Emerging report...

A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation With an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar Disorder: Un dialogueur pour la prise en charge du trouble bipolaire : utiliser la génération augmentée par récupération avec un grand modèle de langage (GML) à poids ouverts pour répondre aux questions cliniques fondées sur les lignes directrices de 2018 de CANMAT et de l'ISBD relatives au trouble bipolaire.

ObjectiveClinical practice guidelines support evidence-based care but are often underused due to complexity, time constraints, and navigation challeng...

Closed-Loop Neurotechnologies, Agency and Mental Interference.

Closed-loop neurotechnologies bring great promise for treating neurological and psychiatric disorders. However, the use of artificial intelligence (AI...

TAFNet: Trusted Multiview Associative Fusion Neural Networks for Analyzing Dynamic Brain Networks.

Dynamic functional connectivity (DFC) is crucial for analyzing brain networks, as it captures the temporal dynamics of brain regions. However, most ex...

Between Help and Harm: An Evaluation Study of Mental Health Crisis Handling by Large Language Models.

BACKGROUND: The use of large language models (LLMs)-powered chatbots has reshaped how people seek information and advice, including for emotional and ...

Fine-grained classroom behavior monitoring for students with special education needs: an audiovisual fusion approach to posture analysis.

A core challenge of inclusive education lies in the difficulty teachers face in effectively identifying and responding to the diverse behavioral manif...

Clinical implementation of artificial intelligence in adolescent mental healthcare.

PURPOSE OF REVIEW: This review aims to summarize recent literature on artificial intelligence (AI) tools for adolescent mental health, including the t...

Oscillatory edge connectivity in pain-related regions supports machine learning identification of migraine.

BACKGROUND: Objective and interpretable brain signatures for migraine diagnosis and phenotyping remain limited. Edge-centric connectivity treats inter...

Quality and readability of AI-generated information on bipolar disorder: a cross-sectional content analysis.

BACKGROUND: Bipolar disorder is a clinically sensitive and diagnostically complex condition in which unclear or incomplete psychoeducational informati...

Network and machine learning analysis of childhood trauma, mental health, and AI-based emotional support needs in adolescents from underdeveloped regions.

BACKGROUND: The current intervention efficacy of generative conversational artificial intelligence (GCAI) on overall mental health issues remains limi...

The entropic brain today.

Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of supportive evidence. The hypothesis states that-along a ...