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Episode 34: Sanna Azzouz on Treating Ventricular Tachycardia Using Image-Guided Ablation
This episode’s guest is Sanna Azzouz, PhD candidate in Health Technology Assessment at Erasmus University Rotterdam. She discusses her paper "Cost-effectiveness analysis of image-guided ablation versus conventional ablation in patients with recurrent ventricular tachycardia in France: results from the inEurHeart trial".
The conversation covers how ventricular tachycardia develops after myocardial infarction, the clinical and economic trade-offs between different treatment options, and how AI-based imaging can reduce procedure time and costs without compromising patient outcomes. The episode also reflects on the challenges of measuring quality of life in severe cardiac conditions and translating short-term trial results into long-term health economic insights.
In the final part, Sanna shares her experience working at the intersection of healthcare, economics, and AI, and offers personal advice for PhD students on growth, balance, and enjoying the research journey.
Guest: Sanna Azzouz, PhD Candidate, Erasmus University Rotterdam
Hosts: Karen Trujillo, Andrea De Palma
Timestamps:
(00:55) Sanna’s background and research focus
(06:55) Ventricular tachycardia and treatment pathways
(12:54) Image-guided vs conventional ablation and AI
(15:45) The InHeart trial and key findings
(23:00) Quality of life, uncertainty, and long-term outcomes
(38:53) Advice for PhD students and early-career researchers
View all episodes
By EcoEchoesThis episode’s guest is Sanna Azzouz, PhD candidate in Health Technology Assessment at Erasmus University Rotterdam. She discusses her paper "Cost-effectiveness analysis of image-guided ablation versus conventional ablation in patients with recurrent ventricular tachycardia in France: results from the inEurHeart trial".
The conversation covers how ventricular tachycardia develops after myocardial infarction, the clinical and economic trade-offs between different treatment options, and how AI-based imaging can reduce procedure time and costs without compromising patient outcomes. The episode also reflects on the challenges of measuring quality of life in severe cardiac conditions and translating short-term trial results into long-term health economic insights.
In the final part, Sanna shares her experience working at the intersection of healthcare, economics, and AI, and offers personal advice for PhD students on growth, balance, and enjoying the research journey.
Guest: Sanna Azzouz, PhD Candidate, Erasmus University Rotterdam
Hosts: Karen Trujillo, Andrea De Palma
Timestamps:
(00:55) Sanna’s background and research focus
(06:55) Ventricular tachycardia and treatment pathways
(12:54) Image-guided vs conventional ablation and AI
(15:45) The InHeart trial and key findings
(23:00) Quality of life, uncertainty, and long-term outcomes
(38:53) Advice for PhD students and early-career researchers