Psychiatry

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...

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...

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...

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...

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...

CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models.

The global prevalence of mental health disorders is increasing, leading to a significant economic bu...

Understanding veterinary practitioners' responses to adverse events using a combined grounded theory and netnographic natural language processing approach.

Support that mitigates the detrimental impact of adverse events on human healthcare practitioners is...

Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database.

BACKGROUND: This study focused on the research hotspots and development trends of the neuroimaging o...

Predictive utility of artificial intelligence on schizophrenia treatment outcomes: A systematic review and meta-analysis.

Identifying optimal treatment approaches for schizophrenia is challenging due to varying symptomatol...

AI-based medication adherence prediction in patients with schizophrenia and attenuated psychotic disorders.

OBJECTIVE: The capacity of machine-learning algorithms to predict medication adherence was assessed ...

Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Previous models of depression outcomes have been limited by symptom heterogeneity within populations...

Training humans to supplement a machine learning system: The role of guides in a digital mental health intervention.

Machine learning (ML) is increasingly prevalent in mental health care, with contemporary initiatives...

AI depictions of psychiatric diagnoses: a preliminary study of generative image outputs in Midjourney V.6 and DALL-E 3.

OBJECTIVE: This paper investigates how state-of-the-art generative artificial intelligence (AI) imag...

Functional Connectivity Biomarker Extraction for Schizophrenia Based on Energy Landscape Machine Learning Techniques.

Brain connectivity represents the functional organization of the brain, which is an important indica...