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

Despite recent campaigns for screening and the latest advances in cancer therapy and
molecular biology, gastrointestinal (GI) neoplasms remain among the most frequent and …

Abstract Background The development of Artificial Intelligence in the healthcare sector is
generating a great impact. However, one of the primary challenges for the implementation of …

Pancreaticobiliary diseases can lead to significant morbidity and their diagnoses rely on
imaging and endoscopy which are dependent on operator expertise. Artificial intelligence …

Abstract The integration of Artificial Intelligence (AI) in endoscopic ultrasound (EUS)
represents a transformative advancement in the early detection and management of …

Introduction: Cholangiocarcinoma (CCA) is a highly lethal malignancy originating in the bile
ducts, often diagnosed late with poor prognosis. Differentiating benign from malignant biliary …

Gastrointestinal diseases are significant health issues worldwide, requiring early diagnosis
due to their serious health implications. Therefore, detecting these diseases using artificial …

Colorectal cancer, a malignant lesion of the intestines, significantly affects human health and
life, emphasizing the necessity of early detection and treatment. Accurate segmentation of …

Introduction: In the realm of computational pathology, the scarcity and restricted diversity of
genitourinary (GU) tissue datasets pose significant challenges for training robust diagnostic …

Abstract Purpose of Review The integration of digital technology into medical practice is
often thrust upon clinicians, with standards and routines developed long after initiation …