Description
Generative Artificial Intelligence (GenAI) is a term used to describe deep learning models capable of creating new content such as text, images and audio. GenAI is expected to have a broad impact in healthcare, including the ability to search and summarize the electronic medical record while automating clinical documentation.
Release Date: May 2024
Viewing Time: 4.5 hours
Course Directors and Faculty
Cadman Leggett, MD
Mayo Clinic
Rochester, MN
Sravanthi Parasa, MD, FASGE
Swedish Medical Center
Seattle, WA
Faculty
Richard Anton
Snowflake
issaquah, WA
Kaustubh Bhatnagar
Medtronic
Minneapolis, MN
Andrea Cherubini, PhD
Cosmo Intelligent Medical Devices
Milan, Italy
Emmanuel Gorospe, MD, MPH, FASGE
Castle Biosciences
El Paso, TX
Cesare Hassan, MD
Nuovo Regina Margherita Hospital
Rome, Italy
Nick Marzotto
Epic
Madison, WI
John Temple
EndoSoft, LLC
Schenectady, NY
Learning Objectives
- Explore how GenAI models are created
- Learn how to utilize GenAI tools in practice
- Review current and future GenAI applications
- Discuss limitations and pitfalls to consider when incorporating this technology into clinical practice
Optimal Viewing Experience on GI Leap
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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, 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.