Psychiatry

Integrated AI-Driven Triage and Referral for Newcomer Mental Health in Ontario: Addressing Anxiety and Depression.

Systemic barriers, including language, navigation complexity, and long specialist wait-times, result...

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study.

BACKGROUND: Depression is a major global health care challenge, causing significant individual distr...

Evaluating an AI-Enabled Mobile Mental Health Monitoring Tool Among Family Caregivers of Adults Living With Cancer: Single-Arm Feasibility and Acceptability Trial Protocol.

BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly...

A Multimodal Dataset for Neurophysiological and AI Applications.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder character...

Mechanistic signatures of comorbid PTSD with cognitive impairment implicate cortisol-induced neural toxicity.

The men and women who worked in rescue and recovery operations at the 9/11 World Trade Center site a...

Feasibility of machine learning classification of depression and anxiety symptoms among college students using 3D gait and sit-to-walk biomechanics.

BACKGROUND: Depression and anxiety are common and burdensome. Objective movement assessment may comp...

Robot-assisted therapy following stroke: what effects on quality of life, cognitive and psychosocial outcomes? A systematic review.

OBJECTIVE: Robot-assisted therapy (RAT) has shown promise in post-stroke motor recovery. However, it...

Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.

Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with...

Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.

The complexity of traditional Chinese medicine (TCM), with its numerous components, targets, and var...

Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.

BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide w...

Inflammation at the crossroads of reproduction: SIRI as a prognostic signature of female infertility in hybrid regression-machine learning models.

BACKGROUND: Female infertility is a critical global health concern, with a rising prevalence and sig...

Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis.

BACKGROUND: Depression affects people's daily lives and even leads to suicidal behavior. Text-based ...

The impact of AI anxiety on career decisions of college students.

The rapid advancement of artificial intelligence (AI) has reshaped the employment market, triggering...

Immune-related biomarkers for major depressive disorder identified via integrated bioinformatics and machine learning.

Background: Major depressive disorder (MDD) is a leading cause of disability worldwide, yet its earl...

Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation.

Major depressive disorder (MDD) is a leading global health burden, yet only one-third of patients ac...

Comparative analysis of BORIS, Ethovision, DeepLabCut, and SimBA for quantifying autism spectrum disorder-like behaviors in the valproic acid mouse model.

Preclinical research often relies on animal observation and subsequent behavioral analysis to study ...

Network control dynamics and subjective reactivity in physiological responses to psychosocial stress.

The ability to endure psychosocial stressors is critical for mental and physical well-being. Clarify...

Functional Inputs to the Subgenual Cingulate Cortex Differentiate Levels of Depressive Symptom Severity in Neurotypical Young Adults: Granger Causality and Clustering Analyses.

Extant research has implicated functional connectivity of the subgenual anterior cingulate cortex (s...

Improved schizophrenia detection using structural MRI with multi-scale transform and deep orthogonal features.

Artificial Intelligence to Support Human-Provided Mental Health Treatment.

Mental health disorders are some of the greatest contributors to the global disease burden, and heal...

Enhancing graduate education assessment: a machine learning-based classification of academic performance in medical students.

BACKGROUND: Accurately predicting academic performance among medical postgraduate students is crucia...