Learning Objective

Investigation of Metabolic Dysfunction-associated Steatotic Disease Screening in an Underinsured and Low

Socioeconomic Resident Clinic

1.Describe the etiology and screening of Metabolic Dysfunction Associated Liver Disease.

2.Access the efficacy of MASLD FIB-4 screening by the resident program.

3.Articulate the co-morbidities that may influence FIB-4 scores and screening interval

Caprini Scores in Patients on JAK Inhibitors

1.Describe Venous Thromboembolism Risk Assessment in Rheumatoid Arthritis Patients on Janus Kinase Inhibitors

2.Articulate ways the E-Caprini Score help to quickly and accurately assess the VTE risk of our RA patients advised to   use these therapies.

Fully Automated Machine Learning Based Echocardiographic Assessment of Left Ventricular Ejection Fraction and Aortic Valve Parameters.

1.Describe the emergence of automated machine learning based algorithm (Us2.AI) in cardiology and its role in echocardiogram analysis.

2.Evaluate the Us2.AI algorithm’s performance compared to human cardiologists using measures of feasibility and reproducibility.

3.Define the clinical implications and benefits of using AI algorithms to aid in echocardiogram interpretation.

4.Discuss potential areas for further research and development in the field of AI-driven echocardiogram analysis, including refinement of algorithms, integration with electronic health records, and incorporation of additional clinical variables for enhanced diagnostic accuracy of the machine learning based algorithm

 

Session date: 
05/17/2024 - 8:00am to 9:00am CDT
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation

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Speaker Name: 
Drs. David Belohlavek, Michael Magnuson, George Tsourdinis, Sylvia Waz, David Weinstein, Mitchelle Zolotarevsky