This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. [PDF]
Patterns (N Y), 2023 Chatterjee J, Dethlefs N.
europepmc +1 more source
Post‐Meal Activity and Eating Disorder Behaviors: An Ecological Momentary Assessment (EMA) Study
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective Mealtimes are associated with heightened distress among individuals with eating disorders (EDs) and are frequently accompanied by ritualized eating behaviors that maintain psychopathology. In inpatient settings, post‐meal rest is commonly prescribed to prevent compensatory behaviors.
Kristin Stedal +7 more
wiley +1 more source
Correction: Development and validation of the conversational AI dependence scale for Chinese college students. [PDF]
Front PsycholChen Y, Wang M, Yuan S, Zhao Y.
europepmc +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objectives We compared two measures of Avoidant/Restrictive Food Intake Disorder (ARFID)—the NIAS and the PARDI‐AR‐Q to determine which demonstrates better psychometric and clinical utility. Methods The study was pre‐registered (OSF; DOI 10.17605/OSF.IO/N8WBF). Participants (aged ≥ 18 years, BMI > 18.5) were recruited via Prolific and screened
Rebecca Nicholls‐Clow +2 more
wiley +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective Fear of fat may reflect concern regarding rejection one may experience at a higher weight. Peers play a major role in socialization and support during adolescence and young adulthood. While studies have highlighted peers as an important source of influence underlying disordered eating, it is unclear whether one's own fear of fat or ...
Shannon M. O'Connor +3 more
wiley +1 more source
The effects of responsiveness, perceived warmth, and anthropomorphism on university students' use of conversational AI for learning support: a chain mediation analysis based on S-O-R framework. [PDF]
Front PsycholLan Y, Liu S, Chen H.
europepmc +1 more source
A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions
Eye &ENT Research, EarlyView.ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley +1 more source
Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial. [PDF]
JMIR CardioTrivedi R +7 more
europepmc +1 more source
Epilepsia Open, EarlyView.Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro +4 more
wiley +1 more source
Conversational AI in Pediatric Mental Health: A Narrative Review. [PDF]
Children (Basel)Mansoor M, Hamide A, Tran T.
europepmc +1 more source