Latest AI and machine learning research in psychiatry for healthcare professionals.
This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distinguishing NSSI presence/absence) and XGBRegressor for regression (predicting NSSI severity), with self-criticism, emotional regulation difficulties, an...
BACKGROUND: Collection of multimodal data (video, audio, and text) can yield digital biomarkers relevant to mental health, fatigue, and cognition. However, the feasibility and signal characteristics in operational populations remain underexplored. OBJECTIVE: The objectives of this study were to (1) extract an evidence-based library of vision, speech, and language features; (2) assess the feasibili...
BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Ear...
BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with ...
Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have demonstrated remarkable capabilities in image and n...
Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) ...
Long-term physiological monitoring using wearable wireless systems represents a paradigm change in next-generation e-health applications. Specifically...
Adolescent mental health is foundational to personal development, yet it faces escalating challenges globally. While traditional assessment methods la...
Population aging worldwide has intensified the need to understand how mental health in later life is shaped by both cultural norms and structural syst...
In a time of dramatic change on multiple fronts, health systems must evolve with a mindset of persistent flexibility, where change is treated as norma...
Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...
This study investigates how religiosity affects individuals' intentions to engage with artificial intelligence (AI) using a non-WEIRD sample (N = 422)...
To improve child developmental results and enable prompt interventions, early identification of autism spectrum disorder (ASD) is crucial. Conventiona...
The classification of autism spectrum disorder (ASD) has reached a new stage of development that includes the former machine learning (ML) designs and...
The game changers in mental health and substance use disorder treatment have been shaped by historical sea changes marked by transformative advancemen...
BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of life, and may accelerate disease progression. Tool...
AIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the effect of nurses' attitudes toward health technolog...
Anxiety disorders are a significant challenge to global health, yet current diagnostic methods rely mainly on subjective and episodic assessment. The ...
Artificial intelligence (AI)-powered assessment, with its ability to process multimodal data and support real-time evaluation, is transforming traditi...