Psychiatry

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

7,031 articles
Stay Ahead - Weekly Psychiatry research updates
Subscribe
Browse Categories
Showing 2752-2772 of 7,031 articles
Haves and have-nots: socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain.

Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, exp...

Oct 2024 39451017
Federated learning-based prediction of depression among adolescents across multiple districts in China.

Depression in adolescents is a serious mental health condition that can affect their emotional and s...

(2)
Oct 2024 39389117
Federated learning and deep learning framework for MRI image and speech signal-based multi-modal depression detection.

Adolescence is a significant period for developing skills and knowledge and learning about managing ...

(2)
Oct 2024 39423605
Building and testing of a robotic intervention framework to enhancing the social engagement of children with autism spectrum disorder.

PURPOSE: Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are...

Oct 2024 39378054
Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children.

A timely diagnosis of autism is paramount to allow early therapeutic intervention in preschoolers. D...

Oct 2024 39361665
Peripheral Blood Mononuclear Cell Biomarkers for Major Depressive Disorder: A Transcriptomic Approach.

Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...

(1)
Oct 2024 40226717
Using machine learning modeling to identify childhood abuse victims on the basis of personality inventory responses.

Trauma is very common and associated with significant co-morbidity world-wide, particularly PTSD and...

Oct 2024 39366273
Detection of Low Resilience Using Data-Driven Effective Connectivity Measures.

Conventional thresholding techniques for graph theory analysis, such as absolute, proportional and m...

Oct 2024 39302782
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes.

This article considers the problem of classifying individuals in a dataset of diverse psychosis spec...

Sep 2024 39383678
Fast, variable stiffness-induced braided coiled artificial muscles.

Biomimetic actuation technologies with high muscle strokes, cycle rates, and work capacities are nec...

Sep 2024 39348536
Potential promises and perils of artificial intelligence in psychotherapy -The AI Psychotherapist (APT).

OBJECTIVE: Since the release of ChatGPT, popular demand has driven the use of social chatbots as pse...

(1)
Sep 2024 39344214
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.

BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened...

(3)
Sep 2024 39383706
Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques.

Identifying and managing the most critical side effects encourages patients to take medications regu...

(2)
Sep 2024 39342208
Creating a diagnostic assessment model for autism spectrum disorder by differentiating lexicogrammatical choices through machine learning.

This study explores the challenge of differentiating autism spectrum (AS) from non-AS conditions in ...

Sep 2024 39331681
Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods.

With the increasing prevalence of mental illness, accurate clinical diagnosis of mental illness is c...

(1)
Sep 2024 39327378
Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.

BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College stu...

(2)
Sep 2024 39341295
The Impact of Medical Explainable Artificial Intelligence on Nurses' Innovation Behaviour: A Structural Equation Modelling Approach.

This study aims to investigate the influence of medical explainable artificial intelligence (XAI) o...

Sep 2024 40224836
MRI-based deep learning for differentiating between bipolar and major depressive disorders.

Mood disorders, particularly bipolar disorder (BD) and major depressive disorder (MDD), manifest cha...

(3)
Sep 2024 39357171
Browse Categories