Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Advanced Deep Learning Architecture for the Early and Accurate Detection of Autism Spectrum Disorder Using Neuroimaging

Autism Spectrum Disorder (ASD) is a neurological condition that affects the brain, leading to challe...

Use of Generative AI for Health Among Urban Youth in Pakistan: A Mixed-Methods Study

GAI tools are increasingly used informally for health, yet evidence from low- and middle-income coun...

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, ...

Artificial Intelligence in Early Detection of Autism Spectrum Disorder for Preschool ages: A Systematic Literature Review

Early detection of autism spectrum disorder (ASD) improves outcomes, yet clinical assessment is time...

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study

Objective: Identifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Res...

New Model, Old Risks? Sociodemographic Bias and Adversarial Hallucinations Vulnerability in GPT-5

Extending our validated benchmarking work, GPT-5 showed no improvement in sociodemographic-linked de...

Predictive Modelling of Depression Treatment Response using Individual Symptoms and Latent Factors

Machine learning models have increasingly been used to identify predictors of treatment response in ...

Leveraging fMRI non-stationarity for deep learning classifier training and feature detection to improve schizophrenia diagnosis

A neurobiologically-based diagnosis with superior reliability in place of clinical interview-based d...

Does later chronotype cause poorer adolescent mental health? An Adolescent Brain Cognitive Development (ABCD) Study

This study investigated whether chronotype (biobehavioral preference for sleep and wake timing) acro...

Neurocomputational evidence of sustained Self-Other mergence after psychedelics

Mental illness is often characterised by a maladaptive sense of self. The neurobiological basis of S...

Clinical trials in depression: Integrated collection across EU and US registries

Depression affects millions worldwide with both pharmacological and psychological therapies widely a...

Privacy-preserving local language models accurately identify the presence and timing of self-harm in electronic mental health records

Self-harm, defined as intentional self-injury or self-poisoning irrespective of motivation, is the s...

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known...

Machine learning to phenotype pain and predict response to pain interventions among young adults with irritable bowel syndrome

Irritable bowel syndrome (IBS) is a prevalent disorder whose most debilitating symptom is pain. The ...

Mining medical narratives on geriatric falls to predict post-fall hospitalization via survival models and large language models

Timely admission to the emergency department is a crucial determinant of patient outcomes. Conversel...

Evaluating Large Language Models for ADHD Education: A Comparative Study of ChatGPT-5, DeepSeek V3, and Grok 4

Children with attention-deficit/hyperactivity disorder (ADHD) often face barriers to participating i...

Leveraging Reddit data for Context-enhanced Synthetic Health Data Generation to Identify Low Self Esteem

Low self-esteem (LoST) is a latent yet critical psychosocial risk factor that predisposes individual...

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