Psychiatry

Anticipatory pleasure as a key hedonic component in classifying major depressive disorder: multidimensional behavioral evidence from majority vote algorithm.

Accelerated Brain Aging in Young Women with Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) has been associated with structural brain alterations, suggesti...

Enhancing Korean adolescent suicide risk prediction with TabR: A generative AI and explainable retrieval-based deep learning approach.

Adolescent suicide is a growing public health crisis, particularly in South Korea, which has one of ...

Social compatibility in opposite-sex prairie vole pairs is modulated by early-life sleep experience.

Studies of human social behavior indicate stronger social affinity in matched-neurotype dyads (e.g.,...

Measuring Accuracy (Classification Probabilities, Positive, and Negative Predictive Values) of Executive Function Electroencephalogram Metrics in Attention-Deficit/Hyperactivity Disorder Diagnosis: Protocol for and Perspectives From the SINCRONIA Study.

BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental...

Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients.

OBJECTIVES: Suicide risk assessments currently rely on subjective clinical judgement, lacking object...

On the relationships between apathy, depression and anhedonia.

BACKGROUND: Apathy, depression and anhedonia are clinically overlapping constructs, which hinders di...

Comparison of cognitive ability and its distribution between men with autism spectrum disorder and attention-deficit/hyperactivity disorder.

OBJECTIVES: Clarification of the strengths and weaknesses of cognitive ability is essential to our u...

Syntaxin1A in synaptopathies: From molecular mechanisms to therapeutic implications in neurological disorders (Review).

Syntaxin1A (STX1A) is a presynaptic membrane protein that is abundantly expressed in the central ner...

Improving support and self-management of ophthalmic patients using an artificial intelligence health coach.

This study evaluates patient engagement and satisfaction with Everyday Medical Monitoring Ally (E.M....

Leveraging artificial intelligence to personalize treatment for eating disorders: A proof-of-concept study.

Eating disorders are complex conditions with high relapse and mortality rates, and fewer than half o...

Dual human-AI thematic analysis of a qualitative interview following cognitive rehabilitation in chronic severe traumatic brain injury.

Qualitative research offers important insight into lived experiences of individuals with traumatic b...

3D ADHD-Net and DeepTrace: Decoding ADHD from EEG with neurophysiological insights.

EEG-based ADHD diagnosis models suffer from two persistent issues: data leakage and the lack of phys...

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 clinica...

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 can...

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% o...

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) cli...

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 dis...

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 structu...

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 signifi...

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

BACKGROUND: Fuzzy logic has been progressively investigated as a viable alternative to traditional s...