Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes

Abstract

The use of technology in medicine has grown exponentially because of the technological advancements allowing the digitization of medical data and optimization of their processing to extract multiple features of significant clinical relevance. Radiology has benefited substantially from technical developments and innovations, such as artificial intelligence (AI). This article describes the subsets of AI methods relevant to gastrointestinal and hepatic imaging with examples. We also discuss the evolution of AI, the current challenges, and prospects for further development in the field.

Keywords: AI; Artificial intelligence; Deep learning; Hepatic; Machine learning.