Psychiatry

Integrated remote sensing and aeromagnetic datasets for mapping iron mineralization potential in the El-Bahariya depression in the Western Desert of Egypt.

The El-Bahariya depression in the Western Desert of Egypt is well-known for its iron ore deposits, with mineralization recorded in five well-known locations. This study is the first integration of hyperspectral PRISMA and aeromagnetic analysis for the Bahariya iron ore deposits. Automated lithological mapping of the study area was performed using machine learning algorithms (MLA) such as Random Fo...

Discrimination of generalized anxiety and major depressive disorders by machine learning of resting-state functional MRI.

OBJECTIVE: To address the clinical difficulty of differentiating Generalized Anxiety Disorder (GAD) from Major Depressive Disorder (MDD), this study aimed to create a machine learning framework with strong interpretability, leveraging a comprehensive suite of resting-state functional MRI features to enhance potential relevance. METHODS: A comprehensive set of functional measures, encompassing both...

Dine in or take out dataset: user behavior in an interactive virtual reality café.

We present the Dine In or Take Out Dataset, a virtual reality dataset collected using a Meta Quest Pro, to understand how predominantly Gen Z individu...

AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.

Current disease-sensing devices primarily focus on distinguishing between healthy and diseased states, effective for diagnosis but limited in guiding ...

A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).

BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters is likely to be under-reported because of stigma a...

Circadian Rhythm Stabilization App to Prevent Mood Episode Recurrence in Patients With Mood Disorders: A Multicenter, Double-Blind, Sham-Controlled, Randomized Clinical Trial.

OBJECTIVE: Preventing recurrence is essential for improving the clinical course of major depressive disorder (MDD) and bipolar disorder (BD). The auth...

Artificial intelligence in Australian prison psychiatry: Promise, pitfalls, and ethical imperatives.

BackgroundArtificial intelligence (AI) may offer potential to augment risk assessment and expand personalised treatment in prison psychiatry. In Queen...

Behavioral patterns in iGaming across territories: Psychiatric and AI-driven insights via the internet of behavior.

BackgroundIn the digital era, iGaming has become a rapidly expanding phenomenon that generates complex behavioral patterns and increases the risk of p...

Exploring Non-Embodied AI-Based Digital Companions for Older Adults in Aging and Care Contexts: Protocol for a Scoping Review.

BACKGROUND: Conversational artificial intelligence (AI) technologies are increasingly positioned as a response to social isolation, loneliness, and un...

A Color Preference Recognition System for Children with Autism Spectrum Disorder Based on Fully Flexible Triboelectric Sensors and Artificial Intelligence Technology.

Appropriate color intervention can effectively regulate the autonomic arousal level of children with autism, improve their attention, and mitigate the...

Enhancing Cognitive Functions of Older Adults With Software Robot: Longitudinal Exploratory Field Study.

BACKGROUND: The global prevalence of dementia continues to rise and demands scalable, nonpharmacological interventions. Digital cognitive training has...

Supporting Student Mental Health With the Safespace Generative AI Chatbot: Mixed Methods Feasibility Study.

BACKGROUND: Generative artificial intelligence (GenAI) chatbots have the potential to provide personalized mental health support to individuals at sca...

Trends and Hot Spots in Cancer Family Resilience: A Bibliometric and Visualization Study.

PROBLEM IDENTIFICATION: Cancer family resilience has become an important interdisciplinary focus in oncology, nursing, and psychosocial care. However,...

Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review.

BACKGROUND: Driven by recent advances in artificial intelligence (AI), particularly in medicine, audio-based voice and speech biomarkers are increasin...

Contextuality, incompatibility, and intra-system entanglement of mental markers: From cognition and decision making to medicine.

Over the past two decades, quantum-like modeling (QLM) has emerged as a powerful framework for describing non-classical features of cognition and deci...

Coproduction Without Youth? Closing the Participation Gap in Digital Mental Health Research.

Young people are among the most intensive users of digital and generative artificial intelligence (GenAI)-enabled mental health tools, yet they remain...

Effects of biologic and targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) on patient-reported outcome domains in rheumatoid arthritis: a systematic review and network meta-analyses.

INTRODUCTION: Evidence from head-to-head comparisons of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) on patient-repo...

Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare.

BACKGROUND: Large language models (LLMs) are rapidly entering clinical and consumer use, yet their probabilistic outputs have delivered a variety of u...

Comprehensive analysis of interactions between brain aging and late-onset psychoses using heuristic mapping models.

BACKGROUND: Advanced brain aging is closely associated with late-onset psychoses, including bipolar disorder(BD), schizophrenia(SP), and major depress...

Metabolomic signatures of brain aging: A multimodal and genetic study.

Accelerated brain aging is increasingly recognized as a transdiagnostic risk factor for neuropsychiatric and neurodegenerative disorders, yet its meta...