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Author(s):
Devi Nair
,
Nassir F Marrouche
,
Janet Han
Added:
1 year 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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Author(s):
Patrick W Serruys
Added:
1 year ago
CRT 2024 — Prof Patrick W Serruys (National University of Ireland, Galway, US) joins us to discuss learning from the SYNTAX trial.The SYNTAX trial is a randomized controlled trial designed to evaluate the efficacy and safety of percutaneous coronary intervention (PCI) with polymer-based paclitaxel-eluting TAXUS stents versus coronary artery bypass grafting (CABG) in patients with complex coronary…
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Author(s):
Dipti Itchhaporia
,
Derek P Chew
Added:
1 year ago
Host, Dr Dipti Itchhaporia (Hoag Heart and Vascular Institute, Newport Beach, CA, US) is joined by PI, Dr Derek Chew (Monash Heart and Victorian Heart Institute, AU) to discuss the findings from the RAPIDxAI trial, which aims to improve the assessment of suspected cardiac chest pain in emergency departments (ED) using a machine-learning algorithm that will interpret high-sensitivity troponin test…
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Implementing AI Algorithms in Emergency Departments: RAPIDxAI
Added:
1 year ago
Podcast Episode
Ep 5: The Future of EP Training: Digital, AI & Hands-On Learning
Added:
1 year ago
Podcast Episode
Added:
1 year ago
In this compelling episode of the Parallax Podcast, host Dr Ankur Kalra sits down with Dr Janarthanan Sathananthan, an interventional and structural cardiologist and the Chief Medical Officer of Interventional Cardiology at Boston Scientific. Dr Sathananthan recounts his life's journey, from being born in Sri Lanka during the civil war, and moving to Zimbabwe, New Zealand, Canada, and finally…
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Added:
2 weeks ago
Source:
CFR Journal
Consumer wearable devices may offer a scalable method for the daily monitoring of heart failure (HF) symptoms and predicting exacerbations. A new study has detailed how a deep learning model using Apple Watch data can estimate cardiopulmonary fitness and provide early risk discrimination for unplanned healthcare events in patients with HF.¹MethodologyThe Ted Rogers Understanding Exacerbations of…
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Navigating Digital Medical Education
Author(s):
Gurleen Kaur
,
Saman Nematollahi
,
Thomas Das
,
et al
Added:
1 year ago
Expert Opinion
Sukriti Banthiya
Research Area(s) / Expertise:
Job title: Fellow physician
Author
New Innovations to Address Sudden Cardiac Arrest
Author(s):
Christine Shen
,
Sanjeev P Bhavnani
,
John D Rogers
Added:
1 year ago
Review Article