ASGE Masterclass Artificial Intelligence

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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 will review 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 will include wireless capsule endoscopy images and videos, localization and diagnosis of esophageal and gastric pathology on EGD and image analysis of endoscopic ultrasound images.   

ASGE Masterclasses 2021 are a must attend program.  Register early to participate in this virtual program.   

Course Director & Faculty
Prateek Sharma headshot

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

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

Sravanthi Parasa, MD,
Swedish Medical Center,
Seattle, WA

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

Taposh D. Roy
Kaiser Permanente
California

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

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

 

REGISTRATION

Artificial Intelligence Masterclass only

June 19, 2021

BEST VALUE
Register for BOTH
Masterclasses

Infection Control and Artificial Intelligence
June 18-19, 2021

 

Physician ASGE Member:

$300

$475

Physician Non-Member:

$400

$675

Nurse, Practice Manager & Other GI ASGE Members:

$175

$275

 

Non-Physician, Non-Member:

$275

$425

 

 

 

 

 

 

ASGE Registration Policies 

Individuals must be ASGE members at the time of registration to receive member rates for the meeting. Refunds will not be provided for the difference in registration fees if the attendee becomes a member after registering.  Phone cancellations are strictly prohibited. Requests will not be honored after June 1, 2021. Substitutions are not permitted. All refunds are subject to a $100 cancellation fee. Requests must be e-mailed to education@asge.org 

INTERESTED IN EXHIBITING OR SUPPORTING MASTERCLASS AI?

Industry, practices or other representatives interested in promoting their product or service at Masterclass AI or have questions on submitting a other requests, can contact Vanita Jordan-Moore, Senior Manager, Sales and Business Development (Tel: 630.570.5625; email: vmoore@asge.org). 



Agenda

Saturday, June 19, 2021                                          
*Agenda listed in Central Standard Time Zone (CST)

7:30 – 8:30 am
Optional Industry Symposia (based upon availability)

8:30 – 9:00 am
Visit virtual rooms and Exhibitors

9:00 – 9:15 am
Welcome and Overview from Course Director
Prateek Sharma 

 

Section 1:  Basic Concepts of AI in Endoscopy

 

9:15 – 9:30 am
What is AI, ML - terminology, and general concepts:
Tyler Berzin

9:30 – 9:45 am
Current applications of AI in Gastroenterology
Prateek Sharma

9:45 – 10:00 am
How is Machine Learning different from Statistics? The thought process 
Sravanthi Parasa

10:00 – 10:15 am
AI Ethics, and Bias
Michael Byrne

10:15 – 10:30 am
Question, Answers & Discussion 

 

Section 2:  Introduction to computer vision in Endoscopy: Hands on with real data!

 

10:30 – 10:45 am
Computer Vision:  Basic concepts
Yuichi Mori

10:45 – 11:00 am
Annotation and Segmentation
Taposh D. Roy

11:00 – 11:15 am
Question, Answers & Discussion

11:15 – 11:45 am
Take a break – Let’s play a game! Build your own algorithm
Sravanthi Parasa

11:45 – 12:30 pm
SCREEN BREAK AND MUNCH TIME

 

Section 3:  Practice Steps for building an AI Healthcare Application in Your GI Program

 

12:30 – 12:45 pm
Endoscopic imaging – How the data looks for the computer
Yuichi Mori

12:45 – 1:00 pm
AI in predictive modeling:   complex EHR Data
Taposh D. Roy

1:00 – 1:15 pm
Question, Answers & Discussion 

1:15– 1:30 PM
SCREEN BREAK

 

Section 4:  What Skills Set?  Who are your Partners? The Last Mile!

1:30 – 1:45 pm
How to get started
Sravanthi Parasa

1:45 – 2:00 pm
Who is your team?
Michael Byrne

2:00 – 2:15 pm
Panel Discussion

2:15- 2.30 pm
Closing remarks
Prateek Sharma

 

CME and Accreditation Information

The American Society for Gastrointestinal Endoscopy (ASGE) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. ASGE designates this internet live course for 4.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

ASGE Assurance to High-Level Scientific Evidence and Adherence to Neutrality: 

ASGE is committed to you, our learners. We are committed to assuring the highest level of scientific rigor, research-based evidence and practicality to clinical use is conveyed throughout this educational activity. The members who designed this educational activity were carefully selected for their content expertise, teaching excellence and neutrality on the topic(s) being presented. ASGE requires all subject matter experts, committee members and staff planners who are in a position to control any aspect of content to disclose all relevant financial relationships with any commercial interests. Financial relationships in any amount are considered a potential conflict of interest and are peer-reviewed and resolved according to ASGE’s Educational Conflict of Interest policy and procedure prior to the start of this program.  All planner, faculty and staff disclosures are available on the GI Leap and as part of the handout materials to registrants prior to the start of the program.

HIPAA Accountability: 

ASGE makes every effort to not include individually identifiable health information in this educational activity. To protect patient privacy, faculty are requested to de-identify patient-related material in accordance with the Health Insurance Portability and Accountability Act (HIPAA).

Educational Attributes: 

This ASGE educational program addresses the following desirable physician attribute(s) that align with ACGME and ABMS Competencies, Institute of Medicine Competencies or Interprofessional Education Collaborative Competencies: a) medical knowledge; b) practice-based learning and improvement; c) provide patient-centered care; and d) employ evidence-based practice.  

ASGE Outcome-Based Education Level:

ASGE Masterclass Artificial Intelligence 2021 is designed to meet ASGE’s Level 3a on an anticipated outcome-based education (OBE) scale.  ASGE’s OBE means starting with a clear picture of what is important for participants to gain from the educational activity to be able to do following participation, then organizing the program, instruction and objectives to make sure the anticipated educational delivery ultimately happened.

Dates: June 19, 2021
7:00 AM - 5:00 PM (Central Daylight Time)