Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …

Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …

Abstract Background and Objective Diabetes mellitus is a metabolic disorder characterized
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …

Background and objectives Diabetes is a chronic disease characterized by high blood
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc …

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …

Abstract Machine Learning (ML) is a branch of artificial intelligence that allows computers to
learn without being explicitly programmed. ML has been widely used in healthcare to predict …

Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …

Motivation Brain or central nervous system cancer is the tenth leading cause of death in men
and women. Even though brain tumour is not considered as the primary cause of mortality …