Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …

Importance The weeks following discharge from psychiatric hospitalization are the highest-
risk period for suicide attempts. Real-time monitoring of suicidal thoughts via smartphone …

Most body image studies assess only linear relations between predictors and outcome
variables, relying on techniques such as multiple Linear Regression. These predictor …

Background Many previous studies have investigated the risk factors associated with eating
disorders (EDs) from the perspective of emotion regulation (ER). However, limited research …

Objective Body mass index (BMI) is the primary criterion differentiating anorexia nervosa
(AN) and atypical anorexia nervosa despite prior literature indicating few differences …

Abstract Purpose of Review With the current review, we provide a brief summary of recent
literature that tests clinically observable characteristics at baseline that may impact treatment …

Abstract Machine learning approaches are just emerging in eating disorders research.
Promising early results suggest that such approaches may be a particularly promising and …

Objective Knowledge on predictors for treatment response to psychotherapy in binge‐eating
disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) …

Objective To develop and internally validate risk prediction models for adolescent onset and
persistence of eating disorders. Methods N= 963 Australian adolescents (11–19 years) in …