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

Journal: Clinical imaging
Published Date:

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.

Authors

  • Darshan Gandhi
    Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. Electronic address: darshangandhi7@gmail.com.
  • Tushar Garg
    Seth GS Medical College, KEM Hospital, Mumbai, Maharashtra, India. Electronic address: gargtushark@outlook.com.
  • Love Patel
    Division of Hospital Medicine, Abbott Northwestern Hospital, Allina Health, Minneapolis, MN 55407, USA.
  • Asser Abou Elkassem
    Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.
  • Varun Bansal
    Seth GS Medical College & KEM Hospital, Acharya Donde Marg, Parel East, Parel, Mumbai, Maharashtra 400012, India.
  • Andrew Smith
    Department of Computer Science and Engineering (University of South Carolina), Columbia, SC 29208 USA.