Psychiatry

Artificial Intelligence and Mental Health Discourse: Methodological Reflections for Nursing Practice.

Social media offers large-scale access to mental health discourse, enabling population-level insights into distress, support-seeking, and community dynamics relevant to person-centered care. Artificial Intelligence (AI) methods can analyze naturally occurring expressions to complement clinical understanding by identifying patterns across individuals and groups. This study examines interaction-base...

A multiscale spatio-temporal convolutional attention network for depressive disorder diagnosis via coarse-grained signal reconstruction based on EEG.

Depression disorder (DD) is a common mental disorder and a leading contributor to the global burden of disease. However, accurate diagnosis remains challenging due to the reliance of conventional approaches on subjective assessments. To address this limitation, this study proposes a Multiscale Spatio-temporal Convolutional Attention Network (MSTANet) for EEG-based depression detection. The propose...

Factors Associated With an LLM Arriving at the Same Diagnosis as a Musculoskeletal Specialist.

INTRODUCTION: Large language models (LLMs) can generate plausible diagnoses from patient symptom descriptions and convey complex medical information i...

Integrating machine learning and pathway modelling to explore factors associated with chronic post-surgical pain and quality of life: a secondary observational analysis of the ENIGMA-II trial.

BACKGROUND: Chronic post-surgical pain (CPSP) is a common long-term complication with multifactorial contributors, and improved risk stratification re...

AI chatbot interaction preceding a suicide attempt: A clinical case from Turkey.

Identification of depression types and key influencing factors among rural elderly in China: a comprehensive analysis based on machine learning and network analysis.

BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural China. In rural settings, the heavy burden of chro...

Patient centered and technology enabled strategies to improve Tuberculosis treatment adherence.

INTRODUCTION: Tuberculosis (TB) treatment adherence (how regular patients follow the prescribed medication) has a major role in TB control. In high bu...

Ethical Considerations in Personal Health Large Language Models.

Personal health large language models (PH-LLMs) have rapidly evolved from research prototypes into consumer-facing, data-linked systems that support s...

Neuroprotective effects of Chaihu-Longgu-Muli Decoction in an insomnia-depression comorbidity model via Galectin-3-dependent JAK2/STAT3 inhibition.

ETHNOPHARMACOLOGICAL RELEVANCE: Chaihu-Longgu-Muli Decoction (CLMD) is a classical Traditional Chinese Medicine (TCM) formula from the Shanghan Lun co...

Machine Diagnostics and Machine Phenotyping of Migraine: A HUNT Study.

BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine remains incompletely understood. It could perhaps b...

Bridging the Disclosure Gap: AI's Potential Role in Suicide Prevention.

Conversational artificial intelligence (AI) tools-specifically, general-purpose large language models-are increasingly used by individuals to disclose...

Transformer and Attention Enhanced Deep Learning Approach for CBCT-Based Mental Foramen Classification and Segmentation.

Determining the location and morphological characteristics of the mental foramen is of critical clinical importance in dental surgical procedures. In ...

Longitudinal patient-reported outcomes after spinal fusion for adolescent idiopathic scoliosis: recovery trajectories and insights into surgical timing.

PURPOSE: Health-related quality-of-life (HRQOL) assessment provides insight into patient's subjective experiences that complement traditional clinical...

Parents' perspectives on the use of artificial intelligence chatbots to promote physical activity among individuals with autism spectrum disorder.

Purpose: Advances in artificial intelligence (AI) have led to the increasing use of chatbots to promote physical activity (PA) through personalised gu...

AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection.

OBJECTIVE: Acute mountain sickness (AMS) is the most prevalent altitude illness, affecting unacclimatized individuals ascending above 2,500 m and pote...

Using AI to Detect Psychosis Relapse: Scoping Review.

BACKGROUND: Psychotic disorder represents a leading cause of disability worldwide, and relapse in psychosis is common. Artificial intelligence (AI) is...

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study.

BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable a...

Neuroimaging studies of non-suicidal self-injury in young adults with major depressive disorder.

Non-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (MDD), elevating suicide risk and indicating poor pr...

Hypericum perforatum L.: a legacy of herbal medicine in light of modern scientific evidence.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypericum perforatum L. has been used for centuries in traditional medicine, with core therapeutic applications includ...

Shared molecular signatures linking gastroesophageal reflux disease and major depressive disorder revealed by integrated machine learning.

BACKGROUND: Gastroesophageal reflux disease (GERD) and major depressive disorder (MDD) frequently co-occur, yet their shared molecular mechanisms rema...