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  1. Cardiac

AI-ECG Derived Age Model: An Interview With Arman Arghami

  • October 30, 2026

By: Arman Arghami, Defne Gunes Ergi

Keywords:

  • Coronary Artery

This interview centers on the artificial intelligence (AI) electrocardiogram (ECG)-derived age model. At the 40th European Association for Cardio-Thoracic Surgery (EACTS) Annual Meeting, CTSNet Associate Editor—Cardiac Defne Gunes Ergi, a cardiovascular surgeon based at the University of Health Sciences, Istanbul, Turkey, spoke with Arman Arghami cardiac surgeon in the Department of Cardiovascular Surgery and Program Director of the Thoracic Surgery Residency at the Mayo Clinic, Rochester, Minnesota, USA, to examine this subject.

They discussed what AI-ECG is, how the model works, what its predictions mean, and how the concept was developed. They also reviewed coronary artery bypass grafting (CABG) vs percutaneous coronary intervention (PCI), the study’s major findings, identifying cohorts that remain at risk, and the skills trainees should develop to prepare for the future.

At the 40th European Association for Cardio-Thoracic Surgery Annual Meeting, CTSNet connected with leading cardiothoracic surgeons from around the world to explore the latest advances in the field. Watch for additional interviews from the meeting. 

 

Related Resources

  1. Risk Stratification of Coronary Artery Bypass Patients Using an Artificial Intelligence Electrocardiogram-Derived Age

 


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TAGS
  • Artificial Intelligence
  • Coronary Artery Bypass Graft
  • Percutaneous Coronary Intervention
  • Professional Development

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