Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …

The first consensus guidelines for scoring the histopathological growth patterns (HGPs) of
liver metastases were established in 2017. Since then, numerous studies have applied …

Images and other types of unstructural data in the medical domain are rapidly becoming
data-intensive. Actionable insights from these complex data present new opportunities but …

The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …

Artificial intelligence (AI) and deep learning have emerged as powerful tools in
understanding the etiology and pathogenesis of cancers. These technologies help uncover …

AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …

Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …

The liver is one of the organs most commonly involved in metastatic disease, especially due
to its unique vascularization. It's well known that liver metastases represent the most …

The sustainable development of the modern economy and society is facing severe
challenges, one of which is the irreversible consumption of traditional fossil fuels. Despite …

Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …