Post written by Michael B. Wallace, MD, MPH, GIE Editor Emeritus from the Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA.

This was an invited review article commissioned by the GIE Editorial Board to recap major advances in the field of artificial intelligence (AI) over the past year.

AI is moving so rapidly in many fields, including endoscopy, that it is difficult to keep up with all the advances. We wanted to provide this valuable service to the members of the American Society for Gastrointestinal Endoscopy and leadership of GIE to give a rapid overview of the most important advances in the field.

In the article, we summarize recent key studies that cover topics relevant to colonoscopy and polyp detection, Barrett’s esophagus detection and classification, pancreatobiliary, and other EUS topics and then outline the current trajectory of these technologies, including those that have recently been approved for clinical use and are in the pathway for near-term clinical use.

We have seen major advances, particularly on adenoma detection, although many of the studies have focused on increased detection of small nonadvanced adenomas. We are increasingly observing systems that will improve the overall efficiency of endoscopy, such as automatic report generation and quality metric monitoring including withdrawal time and bowel preparation scores. These are anticipated to enter our endoscopy units in 2025 as part of general platform-based systems that allow multiple AI applications on the same platform.

Read the full article online.

The information presented in Endoscopedia reflects the opinions of the authors and does not represent the position of the American Society for Gastrointestinal Endoscopy (ASGE). ASGE expressly disclaims any warranties or guarantees, expressed or implied, and is not liable for damages of any kind in connection with the material, information, or procedures set forth.