Results 191 to 200 of about 443,226 (227)
Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning. [PDF]
Kong H, Wang X, Fang H, Shangguan X.
europepmc +1 more source
ABSTRACT Objective This systematic review evaluated the feasibility, efficacy, adherence, and methodological quality of ecological momentary intervention (EMI)–based treatments for individuals with diagnosed eating disorders (EDs) and/or obesity. Method Eight electronic databases were systematically searched from inception to January 2026.
Wenlu Mao +4 more
wiley +1 more source
Nomophobia in Nursing Students: Psychological, Academic, and Clinical Impacts-An Integrative Review. [PDF]
Guillari A +7 more
europepmc +1 more source
ABSTRACT Objective To evaluate the efficacy of a 16‐week therapist‐guided, smartphone‐based aftercare intervention as an add‐on to treatment as usual (TAU) following inpatient treatment for anorexia nervosa (AN). Method In this single‐center randomized clinical trial, 186 female inpatients with DSM‐5 AN (≥ 13 years; body mass index (BMI) ≥ 15.0 kg/m2 ...
Sandra Schlegl +4 more
wiley +1 more source
Is generative artificial intelligence becoming addictive? An exploration among undergraduate students. [PDF]
Isbulan O, Ergene O, Demirhan E.
europepmc +1 more source
ABSTRACT Background Eating disorders characterized by recurrent binge eating are prevalent, impairing, and undertreated. Digital programme‐led interventions may increase access to recommended treatments, but completion rates are variable. Adding brief human support to digital programmes may improve completion and outcomes.
Rebecca Murphy +2 more
wiley +1 more source
"I can never be in a room alone and not be on my phone." Understanding smartphone addiction of young adults. [PDF]
Kröger S.
europepmc +1 more source
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley +1 more source
The evolution and reconstruction of digital addiction: from compulsive consumption in the internet era to symbiotic dependence in the artificial intelligence era. [PDF]
Jiang T, Wang Y, Wang C, Zhou Z.
europepmc +1 more source
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source

