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Lovely time with Cardiac Devices research Amsterdam Fleur Tjong Maarten Kolk Sanjiv Narayan .

Superb talk on Digital Twins and their role and perspective in the clinic nowadays, going through the literature and metaphors as a master. Thanks Sanjiv Narayan #ehra2023 #proudmentee NataliaTrayanova Dr. Helmut Pürerfellner Maarten Kolk Fleur Tjong Stanford Medicine Stanford Medicine EHRAPresident

‼️Come join us for the e-Cardiology Award 🏆session at Agora #EHRA2023 Interesting talks on #telehealth, #digital & #AI Our PhD student Maarten Kolk is presenting on #AI prediction model for #ICD-non benefit! 🫀⚡️ Samuel Ruiperez-Campillo Sanjiv Narayan Emma Svennberg David Duncker

Looking forward!! Check it up! #EHRA 2023 EHRAPresident Cardiac Devices research Amsterdam Fleur Tjong Maarten Kolk

Improved patient’s selection for #ICD by Martin Kolk at #EHRA congress

So proud of Maarten Kolk who did a fabulous job presenting our recent work on ICD non-benefit prediction using multimodal #AI! 🏆Great e-Cardiology Award session, congratulations to all speakers and 🔝jury! 🤩 Emma Svennberg David Duncker Paul Zei Ruben Casado Arroyo @drpaulfriedman

Great work of Maarten Kolk in ICD non-benefit using AI on multimodal data and introducing novel ML approaches. So happy to collaborate in so insightful projects!! Fleur Tjong Sanjiv Narayan EHRAPresident Cardiac Devices research Amsterdam Stanford Medicine Sanjiv Narayan #EHRA2023

A pleasure to be part of the e-cardiolgy awards panel at the EHRA 2023 congress in Barcelona. We listened very carefully to the 5 finalists who made a great presentation and defended very well the questions we asked them. Congratulations to all of them f…lnkd.in/dwDMnxjk

John Mandrola, MD Thanks for sharing! … Similar results for heterogeneity in #suddendeath studies: those closer to original population ➡️ closer results. 🤔How to increase generalizability? Fleur Tjong Maarten Kolk Jason Andrade Brototo Deb (Brodie), MD, MIDS Zachi Attia @drpaulfriedman pubmed.ncbi.nlm.nih.gov/36773349/

#Stanford23 Biodesign. Starting soon - join us now! Intercontinental NOLA ⁦Atul Verma⁩ ⁦NataliaTrayanova⁩ Alex Mittal ⁦Jose Osorio⁩ ⁦Amin Al-Ahmad, MD⁩ ⁦Phillip Cuculich, MD⁩

#Biodesign Stanford Medicine: One of the most exciting meetings at #HRS2023, with an unique format of >50 clinical experts and >30 industry innovators to present the future in EP! Congratulations to Paul J Wang, MD, Sanjiv Narayan for this excellent meeting and it’s 20th bday! 🤩🎉🙌🏻

🎉Thank you to our chairs and the entire writing team and Heart Rhythm Society staff for helping us to get this important #remotemonitoring guideline to the finish line. Now the real work begins! #HRS2023 heartrhythmjournal.com/article/S1547-…

In PRAETORIAN DFT, a PRAETORIAN score < 90 predicts 99% DFT success in prelim data. In practical terms, how might we use this info in lab, prior to CXR score? Will some pts need to come back to lab for testing & possible revision after CXR is obtained? Reinoud Knops #HRS2023

Great LBCT presented by Reinoud Knops! First results of the randomized PRAETORIAN DFT trial. Validation of the PRAETORIAN score #HRS2023 #EPeeps #NOLA

So great to meet Maarten Kolk in person FINALLY! So much better than zoom calls. The best part about #HRS2023

🤩Dr. Maarten Kolk showed how using #wearable #accelerometer data, we can estimate #PROM - providing new tools to assess continuous #QoL without patient burden, potentially identifying risk for events and enabling timely lifestyle interventions! 🏃⌚️🫀#HRS2023 #Epeeps #digital

Can AI replace cardiology? Insightful discussion is happening now at #ESC2023 Great moderation of Gerhard Hindricks and great open debate. Sanjiv Narayan José Millet Roig NataliaTrayanova Brototo Deb (Brodie), MD, MIDS Prasanth Ganesan Ruibin Feng Fleur Tjong Maarten Kolk Laura Alvarez Dominik Linz Jose Luis Merino

🥳 So excited our newest paper on multimodal machine learning for prediction of ICD-non benefit is out now at Europace Editor-in-Chief European Society of Cardiology Journals !! 🙏Thanks to our amazing team: led by Maarten Kolk - Sanjiv Narayan Samuel Ruiperez-Campillo Reinoud Knops Erik Bekkers & many! academic.oup.com/europace/artic…

🎯 #EUROPACE Optimizing patient selection for primary prevention ICD implant through Machine Learning approach ✍️Fleur Tjong Maarten Kolk Sanjiv Narayan 📚🆓👉 doi.org/10.1093/europa… Giulio Conte Francesco Santoro, MD, PhD Dominik Linz Xiaodong Zhang (Andy), MD, PhD, FHRS, FACC Marco Vitolo Ⓜ️ Luigi Di Biase

This study used #DeepLearning to identify five distinct behavioral profiles in patients at high risk of sudden cardiac death by analyzing daily activity & sleep data. Patients in the lowest activity & poorest sleep group had a significantly higher risk of dangerous heart