Psychiatry

Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study.

BACKGROUND: Depression is a common mental disorder that seriously affects mental health and quality ...

Psychosocial Distress and Radiation Treatment Interruptions in Patients With Cancer Using Machine Learning and Regression: Retrospective Cohort Study.

BACKGROUND: Uninterrupted delivery of radiation therapy is critical to cancer treatment quality. Unp...

Mapping Technologies, Support Functions, Evaluation Outcomes, and Safety Governance Related to Conversational AI Agents for Psychological Support of Patients With Cancer: Scoping Review.

BACKGROUND: Psychological distress and unmet psychosocial needs are common across the cancer continu...

"There is a Place for it"-Practitioners' Perspectives on Situated Ethical Acceptability of AI Technologies for Mental Health Practice: Qualitative Study.

BACKGROUND: Design research on AI technologies for mental health has expanded rapidly, yet existing ...

Responses of large language model-based chatbots to simulated psychotic ideation across repeated interactions.

Following the development of widely accessible large language model-based chatbot systems, concerns ...

Corrigendum to "Pilot study of an anxiety induction method applying generative artificial intelligence and mixed reality" [J. Anxiety Disord. 119 (2026) 103150].

Advancing the use of artificial intelligence in psychiatry: The need for international collaboration.

Challenging macrotrends in recent decades have characterised population mental health across the glo...

Pilot study of a ChatGPT-based educational and counselling tool in a specialist HIV and sexual health clinic.

OBJECTIVES: Real-world implementation of large language models such as ChatGPT to enhance patient ed...

Direct Effects Multiplicative Inference (DEMI): causal prediction from pairwise clinical relationships, applied to antidepressant response.

OBJECTIVE: This paper introduces Direct Effects Multiplicative Inference (DEMI), a causal algorithm ...

Identifying predictors of treatment response in Hoarding Disorder using machine learning.

The current gold standard treatment for Hoarding Disorder (HD) is cognitive behavioral therapy (CBT)...

Machine Learning and Post-Hoc Feature Attribution for Predicting Cardiac MRI Motion Artifacts: A Retrospective Cohort Study.

Anxiety-induced motion artifacts frequently compromise image quality during non-sedated cardiac magn...

Mental Health Factors in Cardiothoracic Surgery Risk Prediction Models: A Systematic Review.

BACKGROUND: Mental health disorders are associated with substantial morbidity and death in cardiovas...

Determinants of Artificial Intelligence Adoption in Aesthetic Practice: A Cross-Sectional Study.

BACKGROUND: The integration of artificial intelligence (AI) into plastic and aesthetic surgery is ad...

Natural Language Processing in Nursing Practice for Clinical Reasoning and Workflow: Scoping Review.

BACKGROUND: Recent advancements in digital health technologies have led to the accumulation of large...

Small-sample ERP-assisted screening for depression and audio multimodal fusion based on the MODMA dataset.

OBJECTIVE: Event-related potentials (ERPs) may provide objective neurophysiological markers for depr...

Establishing Diagnosis Models for Autism Spectrum Disorder With Auditory Brainstem Response Using Machine Learning Methods.

This study aimed to develop and validate models built using machine learning methods for the diagnos...

New tools may help decide who needs antidepressants.

Amid a U.S. push for "deprescribing," researchers are finding ways to match patients to their optima...

Unravelling the planetary health diet index-depression nexus: utilisation of network and machine learning approaches.

Adherence to the planetary health diet index (PHDI) is associated with health benefits, but its rela...

Artificial intelligence EEG biomarkers for schizophrenia diagnosis: Systematic review with PROBAST+AI assessment.

BACKGROUND: The application of artificial intelligence (AI) to resting-state electroencephalography ...

A Tangible Multimodal Sensing Interface for Collaborative Task Engagement in Children With Autism Spectrum Disorder: Cross-Sectional Mixed Methods Feasibility Study.

BACKGROUND: Social engagement is critical for the developmental progress of children with autism spe...

Child and Adolescent Mental Health Misinformation on TikTok: Cross-Sectional Mixed Methods Study.

BACKGROUND: TikTok is an important source of mental health information for children, adolescents, an...