Eating Disorders

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to m...

The effectiveness of CBT-based NLP-enabled AI conversational agents for mental health intervention: a systematic review and meta-analysis.

Natural language processing (NLP)-enabled artificial intelligence (AI) conversational agents (CAs) a...

Smart feeding: the role of artificial intelligence and integrated nutrition platforms in the ICU.

PURPOSE OF REVIEW: Tremendous improvement in the use of artificial intelligence has opened new oppor...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis s...

Brain Connectivity and Machine Learning Approaches to assess the underlying neurobiology and prediction accuracy of anorexia nervosa: A replication study.

Resting-state fMRI has been used to study aberrant functional connectivity properties in patients wi...

Core body temperature is associated with visual representations of social group members.

Core body temperature (CBT) reflects a physiological state that may correspond with variation in soc...

Gene-Environment Interactions in Predicting Self-Harm: A Machine Learning Approach Using Explainable Artificial Intelligence.

BACKGROUND: Self-harm is a critical public health concern; nevertheless, the complex interplay betwe...

Brain morphology in Anorexia Nervosa and its subtypes: A multi-cohort study of individual participant data.

BACKGROUND: In a recent coordinated meta-analysis of neuroimaging data, we reported gray matter (GM)...

Comment on "Interpretable Machine Learning Model for Predicting Refeeding Syndrome After Colorectal Cancer Surgery".

Cultural Relevance and Acceptability of Cognitive Behavioral Therapy Techniques Adapted by AI or a Human Psychologist: Experimental Study.

BACKGROUND: Evidence-based psychological interventions are usually not accessed by marginalized grou...

Benchmarking Generative Artificial Intelligence Against Human Judgment in Eating Disorder Case Recognition and Treatment Recommendations.

OBJECTIVE: Generative AI is now used to access eating disorder (ED) information, yet the suitability...

A Comparative Evaluation of Three Large Language Models for Parent-Centered Questions About Anorexia Nervosa.

BACKGROUND: Large language models (LLMs) are increasingly used to obtain health information, includi...

A Call for Leadership: Lessons Learnt from a Case of Artificial Intelligence (AI)-Augmented Cognitive Behavioural Therapy (CBT).

Glucagon-Like Peptide-1 Receptor Agonists in Psychiatry: A Pharmacoepidemiological Scoping Review.

Pharmacoepidemiological studies have expanded the capacity to detect therapeutic benefits and advers...

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and function...

Predicting depression treatment outcomes for cognitive behavioural therapy using machine learning: A systematic review and meta-analysis.

BACKGROUND: Cognitive behavioural therapy (CBT) is an empirically-supported treatment for depression...

Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treat...

Leveraging machine learning to identify gendered stereotypes and body image concerns on diet and fitness online forums.

The pervasive expectations about ideal body types in Western society can lead to body image concerns...

An exploratory randomized controlled trial of an AI-enabled mental health intervention for generalized anxiety.

Generalized Anxiety Disorder (GAD) is prevalent and often co-occurs with depression, contributing to...

Interpretable machine learning model for predicting refeeding syndrome after colorectal cancer surgery.

OBJECTIVE: Refeeding syndrome (RFS) is a common yet frequently overlooked complication during postop...

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and...