Gastroenterology & Artificial Intelligence: 3rd Annual Global Artificial Intelligence Summit | September 2021-Understanding the basics of AI as it pertains to GI

Video Transcription

Video Summary

In this video, the speaker congratulates and thanks the organizers of the summit. He introduces the first speaker, Tyler Burzin, who is a well-known figure in the AI field. Tyler gives a talk on understanding the basics of AI in relation to gastrointestinal (GI) practices. He explains the key definitions of AI, including machine learning, deep learning, and computer vision. Tyler illustrates the difference between traditional programming and machine learning using an example of polyp detection. He highlights the data challenges in the field, such as the need for labeling and managing large amounts of images and videos. Tyler also discusses the applications of AI in GI practices, including computer-aided detection and diagnosis, predictive modeling, and natural language processing. He concludes by addressing the flaws and risks of AI, such as fragility, overfitting, and the amplification of health inequities. Tyler thanks the organizers and expresses his excitement for the other talks and the rest of the conference.

Asset Subtitle

Tyler Berzin, MD, FASGE

Keywords

AI basics

gastrointestinal practices

machine learning

computer-aided detection

health inequities