Detecting Disease Early: Tapping Into the Full Potential of ECG Using Artificial Intelligence

March 3, 2023
JW Marriott New Orleans | Ile de France Ballroom, New Orleans, LA

Registration Closed
Credit Types: AMA PRA Category 1™ (2.5), ABIM MOC (2.5), Price: Complimentary

Schedule

FRIDAY, MARCH 3, 2023
6:30 p.m.
Registration and Dinner
7:00 p.m.
Welcome and Introductions
Moderator: Francisco Lopez-Jimenez, MD
7:05 p.m.
Machine Learning: The Basics
Zachi Attia, PhD
7:15 p.m.
Early Detection of Left Ventricular Systolic and Diastolic Dysfunction
Zachi Attia, PhD
7:25 p.m.
Detection of Left Ventricular Diastolic Dysfunction
Jae Oh, MD
7:35 p.m.
Detecting Valvular Heart Disease with the ECG: Potential Implications on Indications for Percutaneous Valve Implantation
Jae Oh, MD
7:45 p.m.
Detecting Valvular Heart Disease with the ECG: Potential Implications on “That QT is Prolonged Even if the ECG is Normal.” The Power of AI to Detect Hidden Long QT Syndrome
Michael Ackerman, MD, PhD
8:05 p.m.
Detecting Hypotrophic Cardiomyopathy Using AI ECG: Potential Implications for Screening Programs
Konstantinos Siontis, MD
8:25 p.m.
Detecting and Preventing Bias in AI
Demilade Adedinsewo, MD
8:45 p.m.
The Best is Yet to Come: What to Expect in the Near Future for Artificial Intelligence in Cardiology
Francisco Lopez-Jimenez, MD
9:05 p.m.
Final Questions / Discussion
Moderators: Zachi Attia, PhD, Francisco Lopez-Jimenez, MD
9:30 p.m.
Course Adjourns
Credit Types Offered
  • AMA PRA Category 1
    2.5
  • ABIM MOC
    2.5

Price: Complimentary

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