Psychiatry

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 increasingly recognized as important indicators of neural adaptability and integrity. Bipolar disorder (BD) is associated with atypical brain activity, as evidenced by prior research demonstrating altered electroencephalography (EEG) spectral entropy and gamma-band auditory steady-state response (aSSR)...

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 from natural language processing of Veterans Health Administration (VHA) clinical progress notes versus a model that underlies VHA's Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET) program retrained to predict the combined outcome of suicide attempt or suicide ...

MedQA-MA: A Moroccan Arabic medical question-answering dataset for virtual healthcare assistants and large language models.

The healthcare domain constitutes a fundamental pillar of national development, as maintaining population health not only enhances citizens' quality o...

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 characterized by an intense fear of social situations involv...

Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains in...

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 accurately differentiate adolescents with Major Depressiv...

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 affected by human immunodeficiency virus (HIV) and ment...

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

Major depressive disorder (MDD) or depression is a chronic mental illness that significantly impacts individuals' well-being and is often diagnosed at...

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, but the degree of success varies. This study dev...

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 psychopathology-based profiles among children and a...

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 symptoms usually occur on the chest, elbows, and the sc...

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 significant disability and healthcare burden. Alt...

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 health information (OHI) using the full 16-item DISCERN...

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 in those reports can cause confusion and anxiety. C...

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 recent stress exposure (e.g., recent life events)...

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

Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.

Psychotherapies have been found effective in the treatment of most mental disorders. However, substantial improvements are still much needed, and many...

Artificial Intelligence-Assisted Clinical Decision Support System in Telemedical Wound Care: A Randomized Controlled Trial.

BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered b...

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

INTRODUCTION: Early identification of autism spectrum disorder (ASD) is critical for improving long-term outcomes, and speech offers a noninvasive sou...

The Effectiveness of Artificial Intelligence-Enhanced Interventions for Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a range of burdens, leading to decreased quality of l...