Background & Aims: Gastric cancer is the common malignancies from cancer worldwide.
Endoscopy is currently the most effective method to detect early gastric cancer (EGC) …

METHODS: This retrospective cohort study consisted of patients aged 50–84 years having at
least 1 clinic-based visit over a 10-year study period at Kaiser Permanente Southern …

Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …

Recent advancement in artificial intelligence (AI) facilitate the development of AI-powered
medical imaging including ultrasonography (US). However, overlooking or misdiagnosis of …

The diagnostic approach to a possible pancreatic mass lesion relies first upon various non-
invasive imaging modalities, including computed tomography, ultrasound, and magnetic …

Background & Aims The aims of our case-control study were (1) to develop an automated 3-
dimensional (3D) Convolutional Neural Network (CNN) for detection of pancreatic ductal …

Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in
the field of medical imaging. It can be used to diagnose diseases and predict certain …

Early diagnosis of pancreatic cancer remains a difficult task, and multiple imaging tests have
been proposed over the years. The aim of this review is to describe the current role of …

Purpose Pancreatic cancer is one of the most lethal neoplasms among common cancers
worldwide, and PCLs are well-known precursors of this type of cancer. Artificial intelligence …

Nowadays ranked 3rd, pancreatic cancer is predicted to become second highest mortality
cancer in next decade. Early diagnosis is the only way to significantly improve survival rate …