Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

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 ...

Free software on your phone or tablet lets you scan, create, edit, annotate and even sign digitized documents on the go. By J. D. Biersdorfer I write the monthly Tech Tip column, which is devoted to ...

Abstract: This special issue contains a collection of extended papers presented at the Future Optical Networks and Communications (FONC) Symposium in the IEEE Future Network World Forum (FNWF), 15–17 ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Department of Health Sciences, International Centre for Healthcare and Medical Education, Bristol, United Kingdom Introduction: The Introduction, Situation, Background, Assessment, and Recommendation ...

Artificial intelligence and machine learning workloads have fueled the evolution of specialized hardware to accelerate computation far beyond what traditional CPUs can offer. Each processing unit—CPU, ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...