Psychiatry

Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior.

Accurate analysis of anxiety behaviors in animal models is pivotal for advancing neuroscience resear...

Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining.

Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in h...

A novel ECG-based approach for classifying psychiatric disorders: Leveraging wavelet scattering networks.

Individuals with neuropsychiatric disorders experience both physical and mental difficulties, hinder...

Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

BACKGROUND: Anxiety and depression represent prevalent yet frequently undetected mental health conce...

Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review.

BACKGROUND: Machine Learning (ML) models have been used to predict common mental disorders (CMDs) an...

FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model.

Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which ...

Beyond clinical observations: a scoping review of AI-detectable observable cues in borderline personality disorder.

Borderline Personality Disorder (BPD), impacting approximately 2% of adults worldwide, presents a fo...

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach.

BACKGROUND: Early detection of anxiety symptoms can support early intervention and may help reduce t...

Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.

Brain functional network (BFN) analysis has become a popular method for identifying neurological dis...

Limbic/paralimbic connection weakening in preschool autism-spectrum disorder based on diffusion basis spectrum imaging.

This study aims to investigate the value of basal ganglia and limbic/paralimbic networks alteration ...

Uncovering key predictive channels and clinical variables in the gamma band auditory steady-state response in early-stage psychosis: a longitudinal study.

OBJECTIVE: Psychotic disorders are characterised by abnormalities in the synchronisation of neuronal...

Unraveling pathogenesis and potential biomarkers for autism spectrum disorder associated with HIF1A pathway based on machine learning and experiment validation.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a high social burde...

Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP.

Cortical networks are capable of unsupervised learning and spontaneous replay of complex temporal se...

AI-enabled clinical decision support tools for mental healthcare: A product review.

The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decisi...

Screening social anxiety with the Social Artificial Intelligence Picture System.

Social anxiety disorder (SAD) is a prevalent anxiety disorder marked by strong fear and avoidance of...

Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic chi...

Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by differences in soc...

The analysis of generative adversarial network in sports education based on deep learning.

The importance of mental health is increasingly emphasized in modern society. The assessment of ment...

Machine Learning-Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation.

BACKGROUND: Previous efforts to apply machine learning-based natural language processing to longitud...

Using deep learning to classify developmental differences in reaching and placing movements in children with and without autism spectrum disorder.

Autism Spectrum Disorder (ASD) is among the most prevalent neurodevelopmental disorders, yet the cur...