Psychiatry

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data.

BACKGROUND: Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on attention-deficit/hyperactivity disorder (ADHD) and autism. This heightened interest coincides with growing neurodiversity advocacy. The impact of these changes in the conceptualization of ADHD and autism, and the relationship between the 2 conditions,...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in the acute assessment (first 24 h postinjury) of patients suspected to have traumatic brain injury (TBI). While imaging, in particular computed tomography, is used almost universally in emergency departments worldwide to evaluate possible features of TBI, there is no currently agreed-upon reporting s...

Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder.

INTRODUCTION: Individuals at clinical high risk for bipolar disorder (CHR-BD) experienced insufficient recognition. Little is known regarding the asso...

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) for optimal personal and work functioning in employe...

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, epigenetic, and environmental factors. ASD is character...

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, especially in the development of novel prediction t...

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 disorder (MDD) in adolescents, emphasizing the signifi...

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 older adults has become increasingly urgent. The SU...

MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.

BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such as anxiety and depression, making it critical to s...

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. Widespread pain has a negative impact on physical fu...

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, studies are still lacking on how early-life religious u...

From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis.

BACKGROUND: We previously proposed a neurocognitive model of psychosis in which reduced morphometric hippocampal-cortical connectivity precedes impair...

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

Depression is a prevalent mental health disorder that presents significant challenges for timely diagnosis and intervention. Automated Depression Dete...

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 multiple sectors, with mental health and psychiatric ca...

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 associated with postoperative maladaptive behaviors...

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, which can be subjective and often lead to delayed...

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 communication and daily routine. Most existing ima...

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 cardiovascular, cognitive, and behavioral impairments. A...

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 conventional management strategies often lack pers...

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 other, and the comorbidity of both significantly incr...