The Lead Episode 83: A Discussion of Artificial Intelligence Age Prediction Using Electrocardiogram Data: Exploring Biological Age Differences

Description

Join us for this episode of The Lead, recorded live at APHRS 2024 in Sydney, Australia.

Learning Objectives

Summarize age prediction options, usaing artificial intelligence
Use electrocardiogram data to explore biological age differences.

Article Authors and Podcast Contributors

Article Authors

Shaun Evans, MD, Sarah A. Howson, MD, Andrew E.C. Booth, MD, Elnaz Shahmohamadi, MD, MPH, Matthew Lim, MBBS, Stephen Bacchi, MBBS, PhD, Ross L. Roberts-Thomson, MBBS, PhD, Melissa E. Middeldorp, PhD, Mehrdad Emami, MD, PhD, Peter J. Psaltis, MBBS, PhD, Prashanthan Sanders, MBBS, PhD, FHRS

Podcast Contributors

Deepthy Varghese, MSN, ACNP, FNP, Northside Hospital
Tina Baykaner, MD, MPH Stanford University
Janet K. Han, MD, FHRS, Northwestern University, VA Greater Los Angeles Healthcare System / UCLA

Faculty and Disclosures

All relevant financial relationships have been mitigated.

Host Disclosure(s):

D. Varghese: Nothing to disclose.

Contributor Disclosure(s):
T. Baykaner: Research: NIH, Speaking/Teaching/Consulting: Medtronic, Pacemate, Volta Medical, iRhythm Technologies
J. Han: Speaking/Teaching/Consulting: Medtronic, iRhythm Technologies

Staff Disclosure(s) (note: HRS staff are NOT in control of educational content. Disclosures are provided solely for full transparency to the learner):
S. Sailor: No relevant financial relationships with ineligible companies to disclose.
S. Colbert: No relevant financial relationships with ineligible companies to disclose.

Summary


Availability:	On-Demand


Cost:	FREE


Credit Offered:	No Credit Offered