OBJECTIVES: The increasing administrative burden associated with electronic health records has contributed to reduced efficiency and rising burnout among physicians, particularly in high-volume environments like Emergency Departments (EDs). Ambient a... read more
BACKGROUND: Restoring the ability to work after hand injuries is a central goal of rehabilitation. Digital therapy applications are increasingly finding their way into everyday clinical practice. However, data on the influence of such technologies on... read more
International journal of medical informatics
Mar 31, 2026
BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information generated in clinical practice. Among these, large language models (LLMs) stand out for their ability t... read more
This paper investigates the use of deep learning ensemble strategies in outcome-based education (OBE) and examines how ideology and politics influence vocational training outcomes. The study evaluates three ensemble strategies, namely bagging, boosti... read more
Consumers increasingly encounter sustainability messages not only through traditional advertising, but through interactive, AI-mediated interfaces on social platforms and e-commerce sites. Recent evidence suggests that green communication on social m... read more
BACKGROUND: Current literature on AAA is characterized by selective outcome reporting, while guideline recommendations are frequently based on studies of poor methodological quality. To improve evidence synthesis, standardization of outcome measures ... read more
Adapted physical activity quarterly : APAQ
Mar 31, 2026
Evidence-based Paralympic classification must limit impairment-related advantages. World Shooting Para Sport classification, based on manual muscle testing, has never been empirically validated. We assessed structural validity using unsupervised mach... read more
Reproduction, fertility, and development
Mar 31, 2026
CONTEXT: Overcoming the disconnect between efficient Machine Learning (ML) techniques and its therapeutic applicability necessitates frameworks that provide clear, contextualized evidence. AIMS: The present work examines the efficacy of a conceptuall... read more
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