Honored to be a panelist at #HRX2025 on digital twins in EP, brilliantly moderated by Prof. Trayanova. Grateful for the inspiring insights on how they can become a foundational tool in EP.
@NTrayanova@JonChrispinMD@tgokhale
Very thought provoking roundtable discussion on AI’s use in EP and the importance of understanding AF’s pathophysiology and standardization of data interpretation as grounds for AI use in guiding ablation, predicting and improving outcomes #HRX2025@HRSonline#AIinEP
“Wearables are changing how we see AFib: new disease, new nomenclature, new classification. It’s no longer black & white.” - @nmarrouche
Fantastic session: How can AI help overcome challenges in EP? #HRX2025
Great discussion on using AI to collect data in the EP lab. Powerful consensus on key pillars: standardized formats, robust governance, and multimodal integration. Essential work to unlock AI's potential! #HRX2025@experienceHRX@TinaBaykaner@shivkumarmd @AlexandreAlmorad
Great roundtable on using AI to tackle the biggest challenges in EP.
One of the key messages : Electrophysiologists must remain the drivers of AI in the field, with clinical relevance remaining the top priority. #HRX2025@nmarrouche
What a wonderful presentation by Dorin Comaniciu on Day 2 of the @JNJMedTech#DataScienceShowcase2024! Incredible to see #AI advancing medical imaging modalities. Dorin's insights gave us a fascinating glimpse into the future of healthcare tech!
#MedTech@Dorin_Comaniciu
This was probably the best 30 min talk and discussion I’ve seen at a conference in a long time. @experienceHRX#HRX2024
Generative AI in Health Systems: A world beyond ChatGPT - @kdpsinghlab from @UCSDHealth🔥🔥🔥🔥
DeEP ON! #EPeeps. Very special day for us @hospitalclinic, for @UHN@UofT and for @BiosenseWebster! The evaluation phase of the automated DeEP mapping tool has begun! Such a privilege to be the first to use it! Seamless annotation! More to come soon @ivroca@Pask_27
@EricTopol This is an important publication. I believe that we'll see more and more publications coming and showing how AI can be used to refine patient segmentation and how that is pivotal in improving treatment success.