Detection and classification of brain tumors are prominent tasks in neuroimaging, as it
ensures accurate and timely diagnosis for effective treatment planning. This study explores …

This chapter provides a measured analysis of how AI is being integrated into medical
practice, focusing on its practical applications and the challenges it presents. It starts with a …

Broad-spectrum antiviral agents that are effective against many viruses are difficult to
develop, as the key molecules, as well as the biochemical pathways by which they cause …

The abstract of the document" Quality Assurance in the Age of Personalized Medicine"
provides an overview of the challenges and opportunities presented by personalized …

This research is aimed at discussing the critical meeting point of healthcare and artificial
intelligence, including the need to protect the required treatment solution. Investigation into …

Our study demonstrates a comprehensive investigation of multiple machine learning models
based on text, image, and speech analysis. More specifically, concerning text analysis, we …

The emergence of multimedia applications has changed signal processing. Integrating Intel
MMX (MultiMedia eXtension) technology with deep learning produces these …

This research proposes a technique for intelligent medication recognition in vending
machines. Because the name of the drug is typically the most visible character recognition in …