Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Artificial intelligence (AI) is a term that covers a multitude of techniques that are used in a
manner that tries to reproduce human intelligence. AI is helpful in various medical …

Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist
experience and inter-observer variability. This variability can cause minor lesions to be …

Subjective symptoms associated with eosinophilic esophagitis (EoE), such as dysphagia,
are not specific, thus the endoscopic identification of suggestive EoE findings is quite …

BACKGROUND Subepithelial lesions (SELs) are gastrointestinal tumors with
heterogeneous malignant potential. Endoscopic ultrasonography (EUS) is the leading …

This study introduces a highly effective technique to address the load flow challenge in
Radial Distribution Networks (RDNs). The proposed approach leverages two matrices …

Gastrointestinal diseases cause around two million deaths globally. Wireless capsule
endoscopy is a recent advancement in medical imaging, but manual diagnosis is …

Artificial intelligence (AI) is not a new idea or field of research. However, recent
advancements in computing technology as well as increasing worldwide experience in …

In this editorial, we explore the existing utilization of artificial intelligence (AI) within the
healthcare industry, examining both its scope and potential harms if implemented and relied …

Barrett's esophagus (BE) is an endoscopically identifiable premalignant condition for
esophageal adenocarcinoma (EAC). To diagnose BE precisely, careful inspection of the …