Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Introduction: The use of antibiotics leads to antibiotic resistance (ABR). Different methods
have been used to predict and control ABR. In recent years, artificial intelligence (AI) has …

Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh
most common tumor in both men and women worldwide. The early detection of KT has …

The intricate neuroinflammatory diseases multiple sclerosis (MS) and neuromyelitis optica
(NMO) often present similar clinical symptoms, creating challenges in their precise detection …

This study proposes a novel glaucoma identification system from fundus images through the
deep belief network (DBN) optimized by the elephant-herding optimization (EHO) algorithm …

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …

There are several disease kinds in global populations that may be related to human
lifestyles, social, genetic, economic, and other factors related to the nature of the country …

There have been great improvements in web technology over the past years which heavily
loaded the Internet with various digital contents of different fields. This made finding certain …

In this study, the possibility of using and applying the capabilities of artificial intelligence (AI)
and machine learning (ML) to increase the effectiveness of Internet of Things (IoT) and big …

Nephrolithiasis is one of the most common urinary disorders in dogs. Although a majority of
kidney calculi are non-obstructive and are likely to be asymptomatic, they can lead to …