Topic: Artificial Intelligence in Emergency Medicine: Evidence, Risks, and the Path Forward

Speaker: Dr Tarek Elsayed

Learning Objectives: 

1. Appraise current evidence for clinical AI applications, including diagnostic support, workflow automation, and predictive tools.

2. Identify key risks of AI adoption, including hallucination, sycophancy, deskilling, and automation bias, in clinical practice.

3. Describe principles for responsible AI governance and implementation at the institutional level.

Disclosure Statement: The speaker(s) have disclosed all financial relationships with ineligible companies, and all relevant relationships have been mitigated.
The content of this presentation is free of commercial bias and has no commercial support.

Session date: 
04/21/2026 - 12:00pm to 1:00pm +04
Add to calendar: 
  • 1.00 AMA PRA Category 1 Credit™

    Cleveland Clinic Abu Dhabi is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

    Cleveland Clinic Abu Dhabi designates this Live activity for a maximum of 1.00 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Please login or register to take this course.