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
  • 1.00 ACPE
  • 1.00 AMA PRA Category 1 Credit
  • 1.00 ANCC
  • 1.00 Participation Credit

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