Speaker(s):
Aalpen Patel, MD MBA FSIR, Staff, Geisinger- has nothing to disclose.
Moderator(s):
Bruce Levy, MD, Staff, Geisinger - has nothing to disclose.
Learning Objectives:
At the conclusion of this session, the participant should be able to:
- Categorize the reasons for black box opaqueness in simple terms
- Describe the Conceptual Understanding of Neural Networks (via its Mathematical Basis)
- Describe the notion of approximation and connect it to the Universal Approximation Theorem concept
Disclosure of Relevant Financial Relationships with/without Commercial Interests:
The Planning Committee consisting of Bruce Levy, MD, Activity Director, Sue Jansen, MBA, BSN, RN, NI-BC, Dean Parry, RPh and My-Trang Dang, DO, PhD have no identified disclosures.
CE Committee Member/Content Reviewers have nothing to disclose.
Any/All relevant financial relationships have been mitigated.
Content Disclosure:
This presentation/content is HIPPA compliant.
Commercial Support for this Session
None.
Session date:
07/23/2024 - 12:00pm to 1:00pm EDT
Location:
Geisinger Medical Center
100 North Academy Ave.
Danville, PA
17821
United States
See map: Google Maps
Add to calendar:
- 1.00 ACPE
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC
- 1.00 Participation Credit