Gastroenterology and Artificial Intelligence: 3rd Annual Artificial Intelligence Summit (On-Demand) | September 2021-Understanding the basics of AI as it pertains to GI

Video Transcription

Video Summary

The video features Tyler Burzin, a co-director of GI endoscopy and director of the advanced endoscopy fellowship at Beth Israel and assistant professor of medicine at Stanford Medical School. In his talk titled "Understanding the Basics of AI as it Pertains to GI," he provides an introduction to artificial intelligence (AI) concepts and its potential impact on gastroenterology. He explains that AI involves programming computer systems to perform tasks that would normally require human intelligence, such as speech recognition and computer vision. He discusses the overlapping terminology related to AI, including machine learning and deep learning. Burzin highlights the use of computer vision in GI, specifically in polyp detection, and emphasizes the need for large amounts of labeled data for effective AI algorithms. He also introduces natural language processing as another application of AI in interpreting unstructured data for analytics. Burzin addresses the potential flaws of AI, including fragility, overfitting, and the risk of amplifying existing health inequities. He concludes by expressing gratitude to the conference organizers and anticipates the remaining talks in the conference.

Asset Subtitle

Tyler Berzin, MD, FASGE

Keywords

artificial intelligence

GI

computer vision

labeled data

natural language processing