Psychiatry

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

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Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Online self-guided interventions appear efficacious for alleviating some mental health concerns. How...

Generative AI and the profession of genetic counseling.

The development of artificial intelligence (AI) including generative large language models (LLMs) an...

A Framework for Comparison and Interpretation of Machine Learning Classifiers to Predict Autism on the ABIDE Dataset.

Autism is a neurodevelopmental condition affecting ~1% of the population. Recently, machine learning...

Eye Movement Characteristics for Predicting a Transition to Psychosis: Longitudinal Changes and Implications.

BACKGROUND AND HYPOTHESIS: Substantive inquiry into the predictive power of eye movement (EM) featur...

Key Predictors of Generativity in Adulthood: A Machine Learning Analysis.

OBJECTIVES: This study aimed to explore a broad range of predictors of generativity in older adults....

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Artificial Intelligence and the Future of Psychotherapy: A Medical Student Perspective.

This article explores the ways artificial intelligence (AI) may impact the field of psychotherapy th...

Virtual reality and artificial intelligence: the future of mental health. A narrative review.

In recent years, the use of artificial intelligence (AI) and virtual reality (VR) in the psychiatric...

Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography.

Autism Spectrum Disorder (ASD) is a disorder of brain growth with great variability whose clinical p...

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep learning method for...

From statistics to deep learning: Using large language models in psychiatric research.

BACKGROUND: Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. ...

[The joint analysis of heart health and mental health based on continual learning].

Cardiovascular diseases and psychological disorders represent two major threats to human physical an...

Co-Designing an Electronic Health Record Derived Digital Dashboard to Support Fair-AI Applications in Mental Health.

Guided by interviews with end-users and in collaboration with lived-experience advisors, the Fairnes...

[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

This study aims to construct a machine learning model to predict depression symptoms in the elderly...

The role of the dopamine system in autism spectrum disorder revealed using machine learning: an ABIDE database-based study.

This study explores the diagnostic value of dopamine system imaging characteristics in children with...

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