Speaker(s): 

Yasser Elmanzalwai, PhD, Faculty Member, 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: 

• Describe the framework for applied machine learning in healthcare
• Differentiate between black box and white box models
• Evaluate the Trade-Offs between interoperability and performance
• Identify the potential benefits and drawbacks of AI technology in healthcare and explore ways in which AI could be used to improve patient outcomes, enhance clinical decision-making, and streamline healthcare delivery
• Describe how to build and use XAI predictive models
• Discuss the promise and challenges of integrating XAI approaches for predictive analyses of electronic health record (EHR) data

Disclosure of Relevant Financial Relationships with/without Commercial Interests:

The Planning Committee consisting of Bruce Levy, MD, Activity Director, Amanda Staskiel, RN, 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.