Psychiatry

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

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Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.

BACKGROUND: Injuries constitute a significant global public health concern, particularly among indiv...

Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.

OBJECTIVE: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dyn...

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach.

PURPOSE: The goal of the study was to identify the most important influences on professional healthc...

Development of machine learning models for predicting depressive symptoms in knee osteoarthritis patients.

Knee osteoarthritis (KOA) combined with depressive symptoms is prevalent and leads to poor outcomes ...

The application of artificial intelligence in health communication development: A scoping review.

This scoping review explores the integration of Artificial Intelligence (AI) with communication, beh...

An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection.

Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent sadness and a d...

Bipolar Fuzzy Pseudo-UP Ideal Of Pseudo-UP Algebra.

In this paper, we apply the concept of bipolar fuzzy sets to pseudo-UP ideals in pseudo-UP algebras....

Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables.

INTRODUCTION: Obsessive compulsive disorder is associated with affected executive functioning, inclu...

Predicting neurodevelopmental disorders using machine learning models and electronic health records - status of the field.

Machine learning (ML) is increasingly used to identify patterns that could predict neurodevelopmenta...

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges.

BACKGROUND: Mental health disorders are currently the main contributor to poor quality of life and y...

The voice of depression: speech features as biomarkers for major depressive disorder.

BACKGROUND: Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessm...

Applying machine learning to understand the role of social-emotional skills on subjective well-being and physical health.

Social-emotional skills are vital for individual development, yet research on which skills most effe...

Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role.

PURPOSE OF REVIEW: This review aims to evaluate the current psychiatric applications and limitations...

Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review.

OBJECTIVES: Tools based on generative artificial intelligence (AI) such as ChatGPT have the potentia...

A deep learning model of dorsal and ventral visual streams for DVSD.

Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the...

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