Psychiatry

Distinguishing clinically diagnosed psychiatric patients from screen-positive college students: An interpretable machine learning study based on the SCL-90.

BACKGROUND: The psychiatric burden among college students has escalated substantially. However, trad...

Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection.

OBJECTIVES: Building on innovations for autism detection-where artificial intelligence (AI)-based mo...

World's largest uncontrolled mental health experiment: Large language models and psychiatric vulnerability.

Multi-Scale Structural MRI Features Reveal Task-Based Functional Connectivity and Its Alterations in Psychiatric Disorders: A Collaborative Graph Attention Network Approach.

Understanding how the brains structural architecture supports task-evoked functional activity is a f...

Digital doppelgangers in psychiatry.

Digital doppelgangers are individualized, continuously updated digital representations of a person c...

Adjustment set selection for estimating optimal treatment rules under confounding.

There is an increasing call for individualized treatment rules, which leverage individual patient ch...

Large Language Model Few-Shot Learning for Predicting Individual Treatment Response to Smartphone-Based Mindfulness in Autistic Adults With Anxiety: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Anxiety disorders are highly prevalent among adults with autism, with 20%-65% experienci...

Rapid Development and Testing of Behavioral Text Message Reminders for Antidepressant Adherence via Online Panels: Survey Study.

BACKGROUND: SMS text message reminders have been used to promote many health behaviors, such as impr...

Decision Support Framework for Quality Assurance and Enhancement of Therapeutic Artificial Intelligence Systems: Mixed Methods Pilot Study.

BACKGROUND: Therapeutic chatbots are increasingly deployed across digital mental health services, ye...

Evaluating large language models for assessment of psychosis risk.

Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (C...

Gut Microbiome in Depression with and without REM Sleep Behavior Disorder.

Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes ...

Using artificial intelligence to predict health-related quality of life for adolescent idiopathic scoliosis.

PURPOSE: Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life ...

From Lab to Fab: Path Forward for Multi-Scale Design of Industrial Anion Exchange Membrane Electrolyzers.

Anion exchange membrane water electrolysis (AEMWE) has emerged as a pivotal pathway bridging laborat...

Computational Analysis of Semantic and Sentiment Features in Natural Language for Schizophrenia.

BACKGROUND: Schizophrenia (SZ) patients exhibit abnormalities in language expression, including sema...

Artificial intelligence-driven environments as emerging contexts in suicide risk.

Recent reports have described suicides temporally associated with artificial intelligence (AI)-media...

Communication Barriers in Patient-Provider Interactions in Health Care: Scoping Review.

BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers s...

Identification and validation of an explainable screening model of college students' mental health with therapeutic strategy implications.

Mental health issues, especially depressive symptoms, among young adults represent a public health c...

Scalable, context-sensitive psychiatric assessment with large language models and brief diaries.

BACKGROUND: Accurate psychiatric assessment requires understanding a person's unique experience with...

Innovative AI-based system for precision diagnosis of childhood strabismus incorporating gaze tracking and real-time correction feedback.

PurposeStrabismus is a common pediatric eye disorder that can lead to developmental and psychosocial...

Zero-Shot Large Language Models for Preliminary Prediction of PTSD Symptoms From Clinical Interview Transcripts: Grands modèles de langage sans exemple pour la prédiction préliminaire des symptômes de TSPT à partir de transcriptions d'entrevues cliniques.

BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due ...

User-Reported Issues With Mental Health Apps: Machine-Assisted Topic Analysis of Social Media Posts.

BACKGROUND: Mobile apps marketed to support mental health have become increasingly popular in recent...