Psychiatry

[AI Technologies for Diagnostics and Conversation Analysis in Psychotherapy: Opportunities and Challenges].

In recent years, artificial intelligence (AI) has made great progress in medicine, particularly in t...

Diagnostic Utility of Formal Thought Disorder Between Affective and Non-Affective Psychosis: A Machine Learning Approach.

Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study.

BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized b...

Predicting suicide attempts among the elderly: A machine learning evaluation of a staged ideation-to-action approach based on the Three-Step Theory.

Suicide among older adults remains a major global public health concern, particularly acute in South...

Predicting the Course of High-Impact Chronic Pain Using Machine Learning Algorithms.

High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable cour...

Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.

For decades, psychiatric neuroimaging has searched for biomarkers of depression and other disorders,...

Harnessing exosomes for precision diagnostics and therapies in psychiatry disorders.

Exosomes are nanosized extracellular vesicles enriched with proteins, lipids, and nucleic acids and ...

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample.

INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received r...

Ethical challenges of using artificial intelligence in suicide prevention: a literature review.

Artificial intelligence (AI) is a tool that could provide useful prevention strategies for people at...

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

A dual attention transformer modelling for explainable mental health analysis in academic environments using TaBERT.

Mental health plays a crucial role in shaping students' academic performance and practical outcomes,...

Voices of change: associations between vocal markers and symptoms of ADHD - Findings from the LIFE child study.

In the context of precision psychiatry, voice characteristics in psychiatric disorders have signific...

Effectiveness and Usability of Artificial Intelligence and/or Machine Learning Enabled Wrist and Ankle Wearables for Physiological and Behavioral Monitoring in Children and Adolescents With Autism Spectrum Disorder: A Systematic Review.

Using machine learning to identify the strongest personal, school, and family correlates of youth mental health and well-being.

Research has identified numerous personal, school, and family factors associated with youth mental h...

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they ofte...

Facial Expression-Based Evaluation of the Emotion Estimation Software Kokoro Sensor in Healthy Individuals: Validation and Reliability Pilot Study.

BACKGROUND: In recent years, artificial intelligence (AI) systems have increasingly been used to ass...

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

BACKGROUND: First responders, such as firefighters, experience significant mental health issues due ...

Hypnosis reshapes multilevel stress response and enhances executive performance in stressed medical students.

Stress and anxiety impair executive function and degrade performance, yet rapid and scalable interve...

Psychiatry in transition: an assessment in the context of societal change.

AIMS: To explore how global challenges such as climate change, artificial intelligence (AI), and mig...

Attention-Enhanced Temporal and Spatial Feature Extraction Network for ADHD Diagnosis based on fMRI.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder, and accu...

Understanding the Brain as a Mentalizing Machine with a Symbol Grounding Function.

Social creatures can infer the mental states of others. This cognitive ability, called mentalizing, ...