
Isaac Shiri Lord
@isaacshiri
Head of Artificial Intelligence in Cardiovascular Medicine Group at University Hospital Bern @inselgruppe
ID: 597781908
02-06-2012 19:59:33
165 Tweet
244 Followers
566 Following

🎯The #IJCVI EiC, Christoph Gräni (Christoph Gräni)❓ What drove your choice of these five standout articles, which highlight how #YesCCT is transforming #TAVI planning ⁉️🌐 link.springer.com/article/10.100… Dominik C. Benz Lorenz Räber, MD PhD Alexander Rosendael Isaac Shiri Lord Marco Guglielmo MD, FEACVI, FSCCT Edoardo Conte


🎯#AI introduces robust solutions for clinical / research workflows plus #CVImaging & others markers that generates novel #data dimensions in #Healthcare! Read&Share - doi.org/10.1007/s10554… 🏆A #IJCVI review by Gennari, Rossi, Carlo N. De Cecco, MD, PhD, Marly van Assen, Sartoretti,



🌟 Fantastic experience at #ESC24 European Society of Cardiology in #London! Great to reconnect with friends & colleagues 🙏🏻 ❗️12 presentations, chairs, & abstracts by our #CardiacImaging / #ArtificialIntelligence Faculty of Medicine, University of Bern Insel Gruppe ‼️Isaac Shiri Lord won the Young Investigator Award! 🏆👏




Exciting news: Meta-analysis in JAMA by Christoph Gräni #InselGruppe Universität Bern shows #whyCMR is crucial for #NIDCM outcomes! Read more: jamanetwork.com/journals/jama/… Faculty of Medicine, University of Bern Dr Christian Eichhorn Isaac Shiri Lord Maddalena Ardissino Jens Eckstein Raymond Kwong


Spannende News: Meta-Analyse in JAMA von Christoph Gräni #InselGruppe Universität Bern zeigt, warum #CMR für #NIDCM wichtig ist! Mehr: inselgruppe.ch/de/aktuell/det… Faculty of Medicine, University of Bern Dr Christian Eichhorn Isaac Shiri Lord Maddalena Ardissino Jens Eckstein @RKwong


Exciting🚀: Metaanalysis published in JAMA. 🫀 Is #whyCMR 🧲linked to outcomes in #NIDCM? 🔎103 studies, 29,788 patients: ❗️LGE➕/extent predicted arrhythmia &🪦 ‼️LVEF didn’t predict mortality. —> More data needed on T1, ECV, GLS. Dr Christian Eichhorn Isaac Shiri Lord @RKwong

🫀Neue Studie unter Leitung der Insel Gruppe, #unibern zeigt dass ein Herz-MRT die Risikobeurteilung bei Herzschwäche erheblich verbessert. Der Nachweis von Narbengewebe gilt als Schlüsselfaktor für die Prognose. Faculty of Medicine, University of Bern Christoph Gräni


Really loved Kim Eagle ‘s concise summary of our #NIDCM ❤️ paper looking into risk stratification using #whyCMR 🧲 in the #EaglesEyeView Podcast American College of Cardiology . I recommend tuning in! acc.org/Latest-in-Card… Christoph Gräni Jens Eckstein Maddalena Ardissino Raymond Kwong Isaac Shiri Lord

🔊Listen to this excellent podcast by John Mandrola, MD in Medscape about our meta-analysis of #whyCMR in #NIDCM, published in JAMA medscape.com/viewarticle/10… Dr Christian Eichhorn Isaac Shiri Lord Raymond Kwong Insel Gruppe Cardiovascular Research Cluster (CVRC) Faculty of Medicine, University of Bern Brigham and Women’s Cardiovascular Imaging Program Harvard University

🚨 Excited: Our paper in JACC Journals on #Myocarditis"! 🔍 We compared Myo-criteria in 1,557 undergoing #whyCMR🧲 ❗️89%#ESC, 29%#LLC ❗️LLC➡️event rates (6.6%/yr) ❗️Negative ESC➡️great prognosis (0.7%yr) 💡 ESC & LLC complement diagnosis & risk sciencedirect.com/science/articl…

Among various #myocarditis diagnostic criteria, ESC criteria for clinically suspected myocarditis and updated Lake Louise criteria had the highest prognostic value. bit.ly/4eKsVSl #JACC Christoph Gräni


New publication: “Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis”. Congratulations to the authors! pubmed.ncbi.nlm.nih.gov/39307861/ Christoph Gräni #BernCVRC

Among patients with an anomalous aortic origin of the right coronary artery, coronary artery CT can be used to safely risk stratify individuals Christoph Gräni Insel Gruppe Cardiovascular Research Cluster (CVRC) R.Kakizaki 植木康志 Marius Reto Bigler @Fbiccire Isaac Shiri Lord Christoph Gräni ahajournals.org/doi/full/10.11…



🚀 Check out our recent paper published in JAMA Network Open Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical Use ⬇️⬇️⬇️ Giovanni Baj Isaac Shiri Lord Pooya Kazaj Johannes Kaesmacher Christoph Gräni George Siontis jamanetwork.com/journals/jaman…