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

Video Transcription

Video Summary

In this episode of Heart Rhythm's The Lead podcast, Dr. Deepti Vergis highlights a study on AI age prediction using ECG data, presented by Dr. Janet Han and Dr. Tina Backner. Conducted by Dr. Sean Evans and Dr. Praj Sanders, the study developed an AI model to predict biological age from ECG data. It used datasets from the University of Adelaide and the UK Biobank. The study found a robust correlation between predicted and actual ages, with notable deviations in young and older age groups. Gender differences were also observed, with men showing older predicted ages. Limitations and future AI developments in cardiovascular care were discussed.

Keywords

AI age prediction

ECG data

biological age

gender differences

cardiovascular care