Psychiatry

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

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Showing 358-378 of 5,301 articles
Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.

Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicid...

A deep learning-based ensemble for autism spectrum disorder diagnosis using facial images.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder leading to an inability to socially ...

Functional connectivity anomalies in medication-naive children with ADHD: Diagnostic potential, symptoms interpretation, and a mediation model.

OBJECTIVE: To identify reliable electroencephalography (EEG) biomarkers for attention deficit/hypera...

A machine learning approach to investigate the role of fear of pain, personal experience, and vicarious learning in dental anxiety.

BACKGROUND: Dental anxiety is a pervasive problem worldwide, leading to avoidance of dental care, re...

Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting...

Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach.

Pediatric bipolar disorder (PBD) is a highly debilitating condition, characterized by alternating ep...

Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach.

BACKGROUND: Aging has become a global trend, and depression, as an accompanying issue, poses a signi...

The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.

BACKGROUND: Ecological momentary assessment (EMA) captures dynamic processes suitable to the study o...

Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction.

Social robots are increasingly being used in therapeutic contexts, especially as a complement in the...

Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.

BACKGROUND: As mental health disorders continue to surge, exceeding the capacity of available therap...

Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study.

BACKGROUND: Monitoring symptoms of bipolar disorder (BD) is a challenge faced by mental health servi...

Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation.

BACKGROUND: This research study aimed to detect the vocal features immersed in empathic counselor sp...

Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.

BACKGROUND: Early identification of Schizophrenia Spectrum Disorder (SSD) is crucial for effective i...

Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach.

BACKGROUND: Crisis hotlines serve as a crucial avenue for the early identification of suicide risk, ...

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