Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
“Our findings indicate that the vaccine provided a significant enhanced level of protection against these infections in the ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to epidemiological and behavioural factors; however, the biological effects of forced ...
Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Abstract: In the field of computational pathology, multiple instance learning (MIL) has become a critical modeling framework for analyzing gigapixel whole-slide images (WSIs). Data scarcity, ...
🔍 Advanced regression analysis of the 2025 global AI job market — this project explores key factors influencing salaries using real-world data, multiple regression models (Linear, Ridge, Lasso, ...
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