Description
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
Learning Objectives
- 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 and Faculty
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
Preview
COMING SOON!
Optimal Viewing Experience on GI Leap
Because all browsers continually roll out new versions and updates, it is not always practical to point to a particular browser as "better" than another. Because browsers are free, you can easily shift from one to another for various purposes. Whatever browser you are using, here are some tips for better streaming and viewing of ASGE videos:
- Close other applications and browser tabs. This decreases the load on memory so your computer or other device can focus on streaming.
- Use a 5 GHz frequency if your router supports it. The common 2.4 GHz frequency is used by household appliances, so is more crowded. Avoiding it is like getting into the carpool lane on a freeway: smoother sailing.
- Use Ethernet instead of Wi-Fi if possible but GI LEAP is built with Wi-Fi in mind.
- Monitor your internet connection. If your ISP has promised you 5MBps and you are getting only 1MBps, it's time for a phone call to your internet provider to sort that out.
Hardware/Software Requirements
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+
Contact Information
For technical difficulties or questions related to content or CME credits, please contact ASGE between the hours of 8:30 AM and 5:00 PM (CST) at 1-866-353-2743 or email
education@asge.org.