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Author(s):
Added:
4 months ago
How can a causal machine learning framework act as a decision-supporting tool to select patients for left atrial appendage occlusion (LAAO)?In this short interview, Dr Xiaoxi Yao (Mayo Clinic, Rochester, MN, US) discusses a study investigating the causal forest model learning framework to identify characteristics in atrial fibrillation patients which would benefit most from LAAO. Dr Yao explains…
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Ep 6: AI and Machine Learning in Arrhythmia Management
Added:
3 months ago
Podcast Episode
Author(s):
Devi Nair
,
Nassir F Marrouche
,
Janet Han
Added:
4 months ago
In this episode of Rhythm Interventions Unplugged, host Dr Devi Nair sits down with leading electrophysiologists Dr Nassir Marrouche and Dr Janet Han to explore the future of electrophysiology (EP) training in the digital age. With virtual learning, AI in cardiology, and cutting-edge EP technology transforming education, how are training programs evolving to keep up?From bite-sized digital…
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Amod Amritphale
Research Area(s) / Expertise:
Job title: Interventional Cardiologist and Director of Cardiovascular Research
Author
Kazem Rahimi
Author
Ep 5: The Future of EP Training: Digital, AI & Hands-On Learning
Added:
4 months ago
Podcast Episode
Author(s):
Syed Ahsan
,
Mark La Meir
,
Added:
1 year ago
Navigating the Hybrid Approach and Optimising Patient Outcomes is a comprehensive video series designed to equip healthcare professionals with the knowledge and skills necessary to excel in the field of hybrid ablation therapy. This innovative series will provide insights into patient criteria, enabling healthcare professionals to identify suitable candidates for this cutting-edge treatment and…
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Demilade Adedinsewo
Author
Justin Ezekowitz
Research Area(s) / Expertise:
Author
Ep 3: The Importance of Virtual Learning
Added:
8 months ago
Podcast Episode