Jyun‑Guo Wang*
Department of Medical Informatics, Tzu Chi University, Hualien, Taiwan
Open Access funded by Buddhist Compassion Relief Tzu Chi Foundation
Abstract
Gastric cancer is among the most common cancers and the second‑leading cause of death globally. A variety of artificial intelligence (AI) applications have been developed to facilitate the image‑based diagnosis of gastric cancer through pathological analysis, endoscopy, and computerized tomography. This article provides an overview of these AI applications as well as suggestions pertaining to future developments in this field and their application in clinical practice.
Keywords: Artificial intelligence, Gastric cancer, Image‑based diagnosis
