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 ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Study: Artificial intelligence model as a tool to predict prediabetes. Image Credit: CI Photos / Shutterstock In a recent study published in the journal Scientific Reports, researchers developed a ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

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 ...

Generative AI is infiltrating everything you do online, including how you find information. If you're bored with traditional search, check out the top AI search engines we've tried. I’ve been writing ...