Psychiatry

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...

Plasma neurotransmitter-related metabolite alterations in adolescent major depressive disorder with and without psychotic features.

BACKGROUND: Whether adolescent major depressive disorder (MDD) with psychotic features has a distinc...

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, ...

Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

The accuracy of grey-matter predictors of depression has remained limited. In this study, brain-base...

Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint.

Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to d...

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of...

Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study.

OBJECTIVE: Machine learning (ML) has advanced predictive modeling in medical diagnosis and risk asse...

Exploration of the mental attention mechanisms in motor imagery-based EEG decoding.

BACKGROUND: Brain-Computer Interface (BCI) systems enable direct communication between the brain and...

Effectiveness of transcranial direct current stimulation (tDCS) on attention and memory biases in individuals with post-traumatic stress disorder (PTSD): a randomized, single-blind, parallel-group study.

Based on neurocognitive models, the development and maintenance of post-traumatic stress disorder (P...

Automated Identification of Accessory Mental Foramen Using Cone-Beam Computed Tomography and Convolutional Neural Networks.

INTRODUCTION AND AIMS: To develop and evaluate a deep learning-based system for automatic detection ...

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BACKGROUND AND AIM: Over recent decades, formal requirements for medical records have been strengthe...

Peripheral Metabolic-Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence from Deep Metabolomic Phenotyping.

BACKGROUND: Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NI...

Shaping Teacher Education Through Professional Identities: Enhancing Autism Awareness.

PURPOSE: The main aim of this study is to examine autism awareness in relation to different professi...

Language-based detection of depression with machine learning: systematic review and meta-analysis.

Early detection of depression is critical for timely intervention. Natural language processing (NLP)...