Psychiatry

Using human-robot interaction to assess emotion recognition in dialysis patients: A preliminary study.

This cross-sectional observational study examined the relationship between psychological factors and multimodal emotion recognition abilities in patients with chronic kidney disease (CKD), introducing a humanoid robot as an innovative assessment modality. Sixty adults undergoing dialysis and awaiting renal transplantation (63.3 % male; mean age = 53.95 years, range 20-80) completed three emotion r...

Attitudes toward AI in health- and non-health-related contexts: Context matters, not mood or perceived social support.

As artificial intelligence (AI) systems increasingly permeate healthcare and daily life, understanding the factors that shape attitudes toward their use is crucial. This study examined how individuals' general attitudes toward AI and their willingness to use AI-based tools in specific situations vary, and how these relate to mood, pain-related affective traits, and perceived social support. A tota...

Factors influencing long-term outcomes in lung transplantation: effective monitoring and comprehensive intervention.

PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge. Outcome determinants have expanded beyond pathop...

Personal reflection on future of psychiatry.

History of Psychiatry can be of help, not only not to repeat the mistakes of the past, but also to find good heuristic sources in old books. A constan...

An automated detection system of autism spectrum disorder using meta-heuristic approach of adaptive LSTM with bayesian learning technique.

Autism spectrum disorder (ASD) is one of the major neurological symptoms affecting young children. Most neurological diseases are captured through spe...

Iterative Large Language Model-Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study.

BACKGROUND: Harmful suicide content on the internet poses significant risks, as it can induce suicidal thoughts and behaviors, particularly among vuln...

Tailored psychotherapy and AI-enhanced contingency management for co-occurring disorders in cannabis use disorder: a systematic review.

BACKGROUND: Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress disorder (PTSD), anxiety, and attention-deficit/hype...

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data.

BACKGROUND: Adolescents are particularly vulnerable to mental disorders, with over 75% of lifetime cases emerging before the age of 25 years. Yet most...

Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.

BACKGROUND: Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource...

HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.

INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, an...

Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BACKGROUND: Social media is a significant source of information for post-secondary students, who are usually at the age at which many common mental di...

Deep neural network-based analysis of voice biomarkers for monitoring treatment response in adolescent major depressive disorder.

BACKGROUND: In adolescents, identifying objective biomarkers for treatment response is crucial for the development of effective interventions. Voice-b...

Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure, and liver cancer, and has a profound impact on t...

Comprehensive Insight into Analytical Strategies for the Determination of Zolpidem and Its Metabolites in Different Matrices.

Zolpidem (ZLP), a non-benzodiazepine hypnotic of the imidazopyridine class, is widely prescribed for the short-term management of insomnia owing to it...

Adoption intentions and barriers to emerging technologies among people with disabilities: a systematic review of attitudes, accessibility, and inclusion.

PURPOSE: Emerging technologies, ranging from robotics and artificial intelligence to assistive innovations, hold transformative potential for improvin...

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.

BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and childbirth-related post-traumatic stress disorder, ar...

Treating autism with Bumetanide: Identification of responders using Q-Finder machine learning algorithm.

Bumetanide, a specific NKCC1 co-transporter inhibitor, restores deficient GABAergic inhibition implicated in various brain disorders, including Autism...

Expectations and concerns of primary healthcare patients in rural areas and small towns in Poland regarding artificial intelligence.

The integration of artificial intelligence (AI) into healthcare presents transformative opportunities, but patient perspectives, particularly from dig...

Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networks.

Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance in both classification and prediction tasks. Howe...

Towards scalable psychological first aid training: an autoethnographic exploration of the potential of large language models in simulation-based learning.

Background: Psychological First Aid (PFA) is a widely used approach to provide psychosocial support to individuals in the aftermath of a stressful eve...