Heart Valve Collaboratory
Heart Valve Matters
Heart Valve Matters is presented by the Heart Valve Collaboratory and serves to highlight trends, technology, and breakthroughs in the field of cardiology.
Author
Heart Valve Collaboratory
Category
Podcast website
Latest episode
Jun 19, 2026
Where to listen?
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Episodes
Results from ACURATE IDE with Janar Sathananthan, Ole De Backer, and Michael Reardon 18.11.2024 10:47
Janar Sathananthan, Ole De Backer, and Michael Reardon dive into the newest findings on TAVR from the late-breaking ACURATE IDE trial.
Challenges of Early Feasibility Studies with Kate Dalton 15.11.2024 16:53
(Originally Aired: November 15, 2024) Ami Bhatt asks Kate Dalton to share details on the challenges of early feasibility studies from her perspective as a clinical site coordinator.
Ethics of AI Detection of Subclinical Disease with Michael Mack 01.11.2024 19:07
Ami Bhatt and Michael Mack explore the ethics of AI use in the detection of subclinical cardiovascular disease.
Economics of AI Detection of Subclinical Disease with Michael Mack 01.11.2024 20:44
Ami Bhatt and Michael Mack explain the economics of AI use in the detection of subclinical cardiovascular disease.
Critical importance of EFS to US Clinical Community with Martin Leon 18.10.2024 17:13
(Originally Aired October 4, 2024) Ami Bhatt and Martin Leon discuss the critical importance of early feasibility studies in the US clinical community.
RESHAPE-HF2 with Michael Mack and Stephen Anker 18.10.2024 17:36
Michael Mack speaks with Stefan Anker about the outcomes and implications of the RESHAPE-HF2 trial.
Harmonizing Data Across EHRs and Imaging Systems with Partho Sengupta 24.09.2024 19:10
Ami Bhatt speaks with Partho Sengupta to highlight how AI can help harmonize data across electronic health records and imaging systems.
Collaborative Intelligence in Cardiac Diagnosis with Patricia Bandettini 24.09.2024 19:45
In the inaugural episode of the HVC's Heart Valve Matters podcast, Ami Bhatt and Patricia Bandettini discuss the collaborative possibility of AI for clinicians and how it can optimize care and diagnoses.
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