Psychiatry

Adoption intentions and barriers to emerging technologies among people with disabilities: a systematic review of attitudes, accessibility, and inclusion.

PURPOSE: Emerging technologies, ranging from robotics and artificial intelligence to assistive innov...

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.

BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and chi...

Treating autism with Bumetanide: Identification of responders using Q-Finder machine learning algorithm.

Bumetanide, a specific NKCC1 co-transporter inhibitor, restores deficient GABAergic inhibition impli...

Expectations and concerns of primary healthcare patients in rural areas and small towns in Poland regarding artificial intelligence.

The integration of artificial intelligence (AI) into healthcare presents transformative opportunitie...

Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networks.

Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance...

Towards scalable psychological first aid training: an autoethnographic exploration of the potential of large language models in simulation-based learning.

Background: Psychological First Aid (PFA) is a widely used approach to provide psychosocial support ...

Altered entropy modulation in bipolar disorder: EEG entropy measures during steady-state auditory entrainment.

BACKGROUND: Non-linear neural dynamics reflect the inherent complexity of brain activity and are inc...

Predictive Accuracy of Natural Language Processing Extracted 3-Step Theory of Suicide Factor Scores Derived From Veterans' Clinical Progress Notes.

OBJECTIVES: To compare predictive accuracy of 3-step theory of suicide (3ST) factor scores derived f...

The lived experience of social anxiety disorder: A conceptual model focused on adolescents and young adults based on published literature and social media listening.

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characteri...

Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cance...

Neurocognitive and Social Cognitive Predictors of Adolescent Major Depressive Disorder: A Machine Learning Classification Study.

Background/aimThis study aimed to investigate whether machine learning (ML) algorithms could accurat...

A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa.

BACKGROUND: Transgender women (TGW) and men who have sex with men (MSM) are disproportionately affec...

Simplifying Depression Diagnosis: Single-Channel EEG and Deep Learning Approaches.

Major depressive disorder (MDD) or depression is a chronic mental illness that significantly impacts...

Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in Amputees.

INTRODUCTION: Targeted Muscle Reinnervation (TMR) can prevent and treat neuropathic pain in amputees...

Psychopathology profiles and longitudinal correlates of nonsuicidal self-injury in youth: a machine-learning approach.

Nonsuicidal self-injury (NSSI) in youth is clinically heterogeneous. We aimed to identify distinct p...

Advancements in psoriasis classification using custom transfer learning algorithms.

Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The sympt...

An exploratory randomized controlled trial of an AI-enabled mental health intervention for generalized anxiety.

Generalized Anxiety Disorder (GAD) is prevalent and often co-occurs with depression, contributing to...

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale.

OBJECTIVE: To develop the first comprehensive, standardized annotated corpus of Chinese online healt...

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults.

OBJECTIVES: Patients value access to their medical reports on patient portals, but the terminology i...

Predicting Depression Risk Among Chinese College Students From Childhood Adversity and Recent Stress Exposure Using Interpretable Machine Learning.

Previous research has shown that both early-life stressors (e.g., adverse childhood experiences) and...

Artificial intelligence and psychiatric diagnosis: a warning to the mental health community.