Psychiatry

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...

Associations of AI-Based Facial Metrics With Patient-Reported Outcomes in Idiopathic Facial Paralysis.

OBJECTIVE: Conventional grading scales and static image assessments may not capture dynamic facial m...

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...

The use of the odds ratio product and self-reported data to detect comorbid insomnia and sleep apnea.

STUDY OBJECTIVES: To evaluate the utility of the odds ratio product (ORP) in differentiating comorbi...

Health-oriented sleep states: making sleep states reflect health conditions.

STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall heal...

Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction.

The chatbot psychosis phenomenon is no longer just a hypothesis. We call for interdisciplinary frame...

[Artificial intelligence in sychotherapy-Attitudes and competencies of medical and psychological psychotherapists].

BACKGROUND: Arificial Intelligence (AI) is increasingly becoming established in medicine, such as th...

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations.

We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based cor...

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-...

Multimodal AI System for Plastic Surgery Diagnosis and Decision-Making Using Deep Learning of Psychological Questionnaires and Three-Dimensional Facial Data.

PURPOSE: To design and develop an AI-based plastic surgery recommendation system using 3D photograph...

Targeting the MPO/LCN2/GMPPB axis in IBS-depression comorbidity: Integrated multi-omics and bidirectional network pharmacology for precision diagnostics and therapeutics.

BACKGROUND: Irritable Bowel Syndrome (IBS) and Major Depressive Disorder (MDD) exhibit high comorbid...

Toward personalized classification and treatment in depression: A narrative review of digital phenotyping and artificial intelligence.

Major depressive disorder (MDD) remains a highly heterogeneous condition, presenting significant cha...

Existing and future use cases, and safety and ethical considerations for AI in body image, and eating disorder prevention.

Artificial intelligence (AI) is rapidly transforming digital, clinical, and cultural landscapes in w...

Urban environmental determinants and their effects on mental health, physical function, and quality of life in older adults: a multidimensional study in Shiraz, Iran.

Urbanization and aging populations challenge public health in developing cities like Shiraz, where e...

Identifying genome-by-childhood trauma interactions for depression using a forest-based approach in the UK Biobank and Adolescent Brain Cognitive Development Study.

Depression is shaped by both genetic and environmental factors, but genome-wide interaction studies ...

The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study.

AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported sim...