The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …

Globally, one of the most prevalent cancers is colorectal cancer (CRC). Chemotherapy and
surgery are two common conventional CRC therapies that are frequently ineffective and …

ABSTRACT Recently, Artificial Intelligence (AI)-based techniques, namely machine learning
(ML) and deep learning (DL) have gained exceptional devotion in conducting the analysis of …

Globally, gastrointestinal (GI) tract diseases are on the rise. If left untreated, people may die
from these diseases. Early discovery and categorization of these diseases can reduce the …

GI abnormalities significantly increase mortality rates and impose considerable strain on
healthcare systems, underscoring the essential requirement for rapid detection, precise …

Gastrointestinal (GI) tract disorders impact the digestive system. Excellent treatment
planning, precise disease detection, surveillance, and differential diagnosis all depend on …

The recent emergence of the hybrid quantum-classical neural network (HQCNN)
architecture has garnered considerable attention because of the potential advantages …

Deep learning plays a significant role in the detection of pulmonary nodules in low-dose
computed tomography (LDCT) scans, contributing to the diagnosis and treatment of lung …

Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare
systems, largely due to the complexities involved in their detection and treatment. Despite …

Background There is increasing evidence of a link between Epstein–Barr virus (EBV) and
gastrointestinal cancers, particularly in immunocompromised patients and those on …