Background: Positron emission tomography (PET) is a valuable tool for the assessment of
lymphoma, while artificial intelligence (AI) holds promise as a reliable resource for the …

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …

The integration of artificial intelligence (AI) into hepatology is revolutionizing the diagnosis
and management of liver diseases amidst a rising global burden of conditions like metabolic …

In an era marked by rapid technological advancement, the fusion of Artificial Intelligence
(AI), Machine Learning (ML), and Distributed Ledger Technology (DLT), commonly referred …

Coronary artery disease (CAD) remains a leading global cause of morbidity and mortality,
underscoring the need for effective cardiovascular risk stratification and preventive …

Classification tasks are typically handled using Machine Learning (ML) models, which lack a
balance between accuracy and interpretability. This paper introduces a new approach for …

Heart disease prediction using machine learning leverages algorithms to analyze patient
data and predict the likelihood of cardiovascular issues. Features like age, cholesterol …

Background: Recent studies have demonstrated that AI can surpass medical practitioners in
diagnostic accuracy, underscoring the increasing importance of AI-assisted diagnosis in …

Advancements in three-dimensional (3D) surface imaging and artificial intelligence (AI) are
transforming dental research and clinical practice by providing high-precision, non-invasive …