Artificial Intelligence (AI) in GI and endoscopy is a growing trend being used to standardize imaging techniques to create better outcomes in the diagnosis of various GI disorders. AI is a broad descriptor that refers to the development and application of computer algorithms that can perform tasks that usually require human intelligence. Machine learning (ML) refers to AI in which the algorithm, based on the input of raw data, analyzes features in a separate dataset without specifically being programmed and delivers a specified classification output. One of the more common tasks to which machine learning has been applied is image discrimination and classification, which has many applications throughout GI and endoscopy.

This masterclass reviewed current practices and applications of AI in GI endoscopy, including colorectal polyp detection, polyp characterization (adenomatous versus nonadenomatous) and prediction of invasive cancer within a polyp lesion. Other topics and applications included wireless capsule endoscopy images and videos, localization and diagnosis of esophageal and gastric pathology on EGD and image analysis of endoscopic ultrasound images. 

The Live Course was held on June 19, 2021.

Release Date: June 2021
Viewing Time: 8 hours

• List 3 ways how AI technology can be applied to endoscopic imaging.
• Compare and contrast tools and techniques used in AI and machine learning.
• Describe the development of clinically useful AI systems.
• Identify key elements of how non-computer scientists can read and understand an AI paper and evaluate the clinical applicability of AI algorithms.
• List up to four action items on how you could start with an AI project in your GI practice.

COURSE DIRECTORS
Prateek Sharma, MD, FASGE
University of Kansas Medical Center
Kansas City, KS 

FACULTY
Tyler M. Berzin, MD, FASGE
Center for Advanced Endoscopy- Beth Israel Deaconess Medical Center/Harvard
Boston, MA 

Michael F. Byrne, MD
Vancouver General Hospital
Vancouver, BC, CANADA 

Yuichi Mori, MD, PhD, FASGE
Showa University Yokohama Northern Hospital
Yokohama, JAPAN 

Sravanthi Parasa, MD
Swedish Medical Center
Seattle, WA 

COMING SOON!

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Windows Requirements:
Operating system: Windows 10+ 
Browser:  Chrome v90.0+, Firefox v84.0+, Edge v90.0+
Internet connection: DSL, cable modem, or other high-speed connection 
Flash: Adobe® Flash® Player 12+ 

Macintosh Requirements:
Operating system: Mac OS X 10.6.8+ 
Browser: Mozilla Firefox v84.0+, Safari 14+, Chrome v90.0+ 
Internet connection: DSL, cable modem, or other high-speed connection
Flash: Adobe® Flash® Player 12+

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