Abstract Background The role of Artificial intelligence (AI) which is defined as the ability of
computers to perform tasks that normally require human intelligence is constantly …

Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

The recent surge of foundation models in computer vision and natural language processing
opens up perspectives in utilizing multi-modal clinical data to train large models with strong …

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

Abstract Machine learning algorithms hold the promise to effectively automate the analysis
of histopathological images that are routinely generated in clinical practice. Any machine …

Gastrointestinal (GI) disease is one of the most common diseases and primarily examined
by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks …

Background and objectives Gastric cancer has high morbidity and mortality compared to
other cancers. Accurate histopathological diagnosis has great significance for the treatment …

Abstract Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has
achieved a breakthrough and revolutionized the processing methods of clinical medicine …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Medical is a sector all different from other sectors, it is always the highest demanding sector.
The days we look back, medical experts are the one who can process medical images such …