Psychiatry

Unveiling the invisible: How cutting-edge neuroimaging transforms adolescent depression diagnosis.

Yu 's study has advanced the understanding of the neural mechanisms underlying major depressive diso...

AI tool flags people at high risk of post-partum depression.

Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.

BACKGROUND: Over the last decade, there has been considerable development in precision psychiatry, e...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epige...

The High Five Model as a Predictor of the Optimal Occupational and Personal Functioning of Workers Through Machine Learning Algorithms.

In this study, the predictive power of positive personality traits from the High Five Model (HFM) fo...

Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation.

As the aging population in the United States grows, the need for an integrated approach to support o...

Quality of Life in European Adults and Older with All-Over Pain: Relationship with Frequency of Moderate and Vigorous Physical Activity and Decision Prediction Models with Cross-Sectional Data.

BACKGROUND/OBJECTIVES: Quality of life (QoL) is negatively affected in people with all-over pain. Wi...

Heterogeneous associations between early-life religious upbringing and late-life health: Evidence from a machine learning approach.

Religious upbringing was common in Europe during the childhood of older adults today. However, studi...

Detection of Cortical Arousals in Sleep Using Multimodal Wearable Sensors and Machine Learning.

Cortical arousals are brief brain activations that disrupt sleep continuity and contribute to cardio...

SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data.

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social ...

Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment.

BACKGROUND: Autism spectrum disorder (ASD) diagnosis traditionally relies on behavioral assessments,...

Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study.

BACKGROUND: Children commonly experience high levels of anxiety prior to surgery. This distress is a...

AI in Mental Health: A Review of Technological Advancements and Ethical Issues in Psychiatry.

Artificial intelligence (AI) is transforming digital health, its influence is expanding across multi...

Automated Depression Detection from Text and Audio: A Systematic Review.

Depression is a prevalent mental health disorder that presents significant challenges for timely dia...

Artificial Intelligence (AI)-Driven Approaches to Manage Postoperative Pain, Anxiety, and Psychological Outcomes in Surgical Patients: A Systematic Review.

Postoperative pain, anxiety, and psychological distress significantly impact surgical recovery, yet ...

Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning.

Clinical course after first episode psychosis (FEP) is heterogeneous. Subgrouping and predicting lon...

QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson's treatment utilizing neighborhood degree-based topological descriptors.

Topological indices are invariant quantitative metrics associated with a molecular graph, which char...

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis.

Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive ...

Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.

Type 2 diabetes mellitus (T2DM) and Major depressive disorder (MDD) act as risk factors for each oth...

A controlled trial examining large Language model conformity in psychiatric assessment using the Asch paradigm.

BACKGROUND: Despite significant advances in AI-driven medical diagnostics, the integration of large ...

Degradation studies on lurasidone hydrochloride using validated reverse phase HPLC and LC-MS/MS.

1. The research aims to develop and validate a stability-indicating reverse phase high-performance l...