PRESENTER(S):
Cristian Topriceanu, M.B.B.S.
 

LEARNING OBJECTIVES:
Upon conclusion of this program, participants should be able to:

• Identify the key limitations of ejection fraction as a metric of heart function, including its load dependence, geometric assumptions, failure to track linearly with disease progression, and insensitivity to subclinical myocardial dysfunction 
• Describe why myocardial function index represents a conceptual advance over metrics that assume constant myocardial volume across the cardiac cycle
• Describe how Procrustes-based shape analysis quantifies cardiac deformation in a space free of translation, rotation, and scaling, and discuss the importance of metrics like Procrustes trajectory size and tensor determinant 
• Evaluate the role of AI-driven automation in improving measurement precision and reducing inter-observer and inter-vendor variability 
• Recognize the necessity of age-, sex-, body size-, and ethnicity-specific reference ranges for cardiac structural and functional metrics to ensure equitable clinical interpretation and avoid diagnostic bias across diverse populations

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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