Psychiatry

SEMASEARCH Study Design: Real-World Evaluation of Semaglutide 2.4 mg in Adults With Severe Obesity Underrepresented in Clinical Trials.

BACKGROUND: Although semaglutide 2.4 mg has demonstrated significant weight loss efficacy in clinical trials, real-world data, particularly with regard to clinically complex and underrepresented populations, remain limited. OBJECTIVES: The study aims to assess the real-world effectiveness and patient-reported outcomes associated with the use of semaglutide 2.4 mg in individuals with severe and com...

Quality, Empathy, and Readability of AI Chatbot Responses to the Survivorship Needs of Adolescents and Young Adults With Melanoma: Evaluation Study.

BACKGROUND: Melanoma, a highly aggressive form of skin cancer, is the second most common type of cancer for adolescent and young adult (AYA, ages 15-39 years) patients. AYA patients with melanoma may turn to internet sources, especially artificial intelligence (AI) chatbots, to manage uncertainty about prognosis and treatment. OBJECTIVE: This study aims to evaluate the quality, empathy, and readab...

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models pred...

Technology Matters: Ambient voice technology in mental health and neurodevelopmental settings - considerations for responsible implementation and evidence gaps.

Documentation comprises a large proportion of Child and Adolescent Mental Health Service (CAMHS) clinicians/practitioners' work burden and is often co...

Association of depression and gastrointestinal diseases: a three-stage study.

BACKGROUND: Depression as a mental illness is commonly observed to co-occur with various somatic diseases, such as gastrointestinal diseases. However,...

Machine-Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles.

Personality neuroscience has traditionally relied on the Big Five model to investigate trait structure and its relationship to individual differences ...

Leveraging Machine Learning to Predict Mental Health Referral Follow-up Among US Military Personnel.

BACKGROUND: Noncompliance with mental health referrals among US military personnel remains a significant barrier to care. Operational deployments and ...

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review.

BACKGROUND: Fuzzy logic has been progressively investigated as a viable alternative to traditional statistical and machine learning methods in health ...

Digital health technologies in pain management for patients with endometriosis: A scoping review.

OBJECTIVE: This scoping review aimed to map the evidence on how digital health technologies are used for pain management in endometriosis. METHODS: Th...

Key factors associated with social anxiety symptoms among Chinese adolescents: An exploration via machine learning models.

BACKGROUND: Numerous factors from the family environment, school contexts, and individual characteristics have been shown to be associated with adoles...

The alteration of the brainstem functional connectivity in the first episode and drug-native generalized anxiety disorder and its transcriptional patterns.

BACKGROUND: Although the brainstem abnormality has been reported in anxiety disorders, there is a scarcity of research targeting the brainstem's funct...

Optimized Complex-Valued Spatio-Temporal Graph Convolutional Networks for attention deficit hyperactivity disorder detection in pediatric EEG signals.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition affecting mood, anxiety, learning, and sleep. Electroencephalogram (...

Bioinformatics and machine learning identify ITIH4 and ZC3H13 as novel mRNA biomarkers for major depressive disorder that promote microglial M1 polarization.

UNLABELLED: Major depressive disorder (MDD), a prevalent mental illness, currently lacks reliable biomarkers and depends predominantly on subjective d...

Prediction of depressive episodes based on clinical features, cognitive characteristics, inflammation-related proteins, and EEG data.

The absence of clinically validated biomarkers and objective diagnostic protocols hinders the accurate and effective diagnosis of depression. Although...

Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework.

Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable bloo...

A Dataset of University Students' Stress and Anxiety Levels based on Questionnaires and Wearable Sensors.

Mental health issues such as stress and anxiety are highly prevalent among university students, often affecting their academic performance and overall...

Risk prediction tools in multiple long-term conditions management: a qualitative study.

BACKGROUND: Risk stratification is integral to providing good care, but its value in managing patients with multiple long-term conditions (MLTC) remai...

Large Language Model-Powered Diagnostic Co-Pilot ("CapyEngine") for Mental Disorders: Development, Evaluation, and Future Optimization Study.

BACKGROUND: Despite the growing potential of large language models (LLMs) in mental health services, evidence on its capabilities in diagnostic proces...

Postgraduate students' perceptions of artificial intelligence integration in research: A cross-sectional study.

BACKGROUND: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly used in academic research, yet evidence on postgraduate stu...

Developing a machine learning-based predictive model for depression risk in patients with cardiovascular diseases.

BACKGROUND: Cardiovascular Diseases (CVD) are frequently comorbid with depression, significantly affecting patient prognosis and quality of life. This...