Psychiatry

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

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A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical pr...

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network.

Previous deep learning-based brain network research has made significant progress in understanding t...

AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance...

Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic.

BACKGROUND: Combining data-driven natural language processing techniques with traditional methods us...

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indi...

Machine Learning Tool for New Selective Serotonin and Serotonin-Norepinephrine Reuptake Inhibitors.

Depression, a serious mood disorder, affects about 5% of the population. Currently, there are two gr...

Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data.

Diabetes mellitus refers to a collection of metabolic disorders that affect the way carbohydrates ar...

Artificial intelligence conversational agents in mental health: Patients see potential, but prefer humans in the loop.

BACKGROUND: Digital mental health interventions, such as artificial intelligence (AI) conversational...

Interventions to improve medication adherence in persons with mental disorders.

PURPOSE OF REVIEW: Nonadherence to medication is prevalent in patients with mental illness. Various ...

Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review.

BACKGROUND: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Repre...

An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study.

BACKGROUND: Suicide represents a critical public health concern, and machine learning (ML) models of...

Mental health phenotypes of well-controlled HIV in Uganda.

INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH)...

Exploring the application of AI in the education of children with autism: a public health perspective.

INTRODUCTION: Autism Spectrum Disorder (ASD) presents significant challenges in social communication...

Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis.

BACKGROUND: Diagnosing bipolar disorder poses a challenge in clinical practice and demands a substan...

Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides a...

Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression.

PURPOSE: Mental health screening is recommended by the US Preventive Services Task Force for all pat...

The influence of generative artificial intelligence on creative cognition of design students: a chain mediation model of self-efficacy and anxiety.

INTRODUCTION: This study investigated the role of generative Artificial Intelligence (AI) in enhanci...

Identifying autism spectrum disorder based on machine learning for multi-site fMRI.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetit...

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