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Isaac Shiri Lord Profile
Isaac Shiri Lord

@isaacshiri

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Head of Artificial Intelligence in Cardiovascular Medicine at University Hospital Bern @inselgruppe

Berne, Switzerland
Joined June 2012
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@JAMANetworkOpen
JAMA Network Open
6 months
Clinical performance studies were reported for approximately half of @US_FDA-approved #AI-enabled medical devices, but information was often insufficient to fully assess their clinical generalizability. https://t.co/3laQHbJ4PD
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@DOWindecker
Daniel Windecker
6 months
🚀 Check out our recent paper published in @JAMANetworkOpen Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical Use ⬇️⬇️⬇️ Giovanni Baj @isaacshiri Pooya Kazaj @CheesemakerMD @chrisgraeni George Siontis https://t.co/ORPZx7VIuh
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jamanetwork.com
This cross-sectional study describes key characteristics of medical devices using artificial intelligence (AI) approved by the US Food and Drug Administration (FDA) relevant to their clinical...
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@CircAHA
Circulation
8 months
Among patients with an anomalous aortic origin of the right coronary artery, coronary artery CT can be used to safely risk stratify individuals @chrisgraeni @inselgruppe @BernCVRC @13Kakiz @yasushiueki @biglermarius @Fbiccire @isaacshiri @chrisgraeni https://t.co/50QNuA5lZA
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@BernCVRC
Cardiovascular Research Cluster (CVRC)
1 year
New publication: “Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis”. Congratulations to the authors! https://t.co/4KMMon8EDS @chrisgraeni #BernCVRC
pubmed.ncbi.nlm.nih.gov
Artificial intelligence-based models using collected pre-TAVI evaluation data can effectively detect ATTR-CM in patients with severe AS, offering an alternative diagnostic strategy to scintigraphy...
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@JACCJournals
JACC Journals
1 year
Among various #myocarditis diagnostic criteria, ESC criteria for clinically suspected myocarditis and updated Lake Louise criteria had the highest prognostic value. https://t.co/omyCTyiBxW #JACC @chrisgraeni
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@chrisgraeni
Christoph Gräni
1 year
🚨 Excited: Our paper in @JACCJournals 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
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@ACCinTouch
American College of Cardiology
1 year
What is the association of #CMR –derived measurements with clinical outcomes in nonischemic dilated cardiomyopathy? Read the journal scan to find out! 👇
acc.org
Debabrata Mukherjee, MD, FACC
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@JAMA_current
JAMA
1 year
Meta-analysis examined the value of cardiac MRI–derived measurements for risk stratification in patients with nonischemic dilated cardiomyopathy. The presence and extent of late gadolinium enhancement were associated with adverse clinical outcomes. https://t.co/mtsUjkoLv6
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@chrisgraeni
Christoph Gräni
1 year
@JAMA_current
JAMA
1 year
Meta-analysis examined the value of cardiac MRI–derived measurements for risk stratification in patients with nonischemic dilated cardiomyopathy. The presence and extent of late gadolinium enhancement were associated with adverse clinical outcomes. https://t.co/mtsUjkoLv6
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@unibern
Universität Bern
1 year
🫀Neue Studie unter Leitung der @inselgruppe, #unibern zeigt dass ein Herz-MRT die Risikobeurteilung bei Herzschwäche erheblich verbessert. Der Nachweis von Narbengewebe gilt als Schlüsselfaktor für die Prognose. @MedFacultyUniBE @chrisgraeni
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@DrMArdissino
Maddalena Ardissino
1 year
So excited - my first coauthored paper in JAMA came out today! 🎉 ➡️ In our meta-analysis, presence & extent of LGE, but not LVEF, were associated with adverse clinical outcomes including mortality and arrhythmic death in non-ischaemic DCM https://t.co/ZIyBjApCQU
jamanetwork.com
This meta-analysis investigates the association of various cardiac MRI–derived measurements with adverse clinical outcomes in patients with nonischemic dilated cardiomyopathy for the purpose of risk...
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@chrisgraeni
Christoph Gräni
1 year
Exciting🚀: Metaanalysis published in @JAMA_current. 🫀 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. @DrChrisEichhorn @isaacshiri @RKwong
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@inselgruppe
Insel Gruppe
1 year
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@inselgruppe
Insel Gruppe
1 year
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@chrisgraeni
Christoph Gräni
1 year
🌟 Fantastic experience at #ESC24 @escardio in #London! Great to reconnect with friends & colleagues 🙏🏻 ❗️12 presentations, chairs, & abstracts by our #CardiacImaging / #ArtificialIntelligence @MedFacultyUniBE @inselgruppe ‼️@isaacshiri won the Young Investigator Award! 🏆👏
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@MedGIFT_group
MedGIFT
1 year
Adrien Depeursinge, Mario Jreige, and Vincent Andrearczyk will give a tutorial on Radiomics at the European Workshop on Visual Information Processing (EUVIP) 2024, Sunday, 8th September in Geneva University Hospital. Registration here: https://t.co/JTwGdyNvtp
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@IJCVImaging
International Journal of Cardiovascular Imaging
1 year
🎯#AI introduces robust solutions for clinical / research workflows plus #CVImaging & others markers that generates novel #data dimensions in #Healthcare! Read&Share - https://t.co/NT7VK4MFRB 🏆A #IJCVI review by Gennari, Rossi, @DeCeccoCN, @marly_van_assen, Sartoretti,
@andgiannopmd
Andreas Giannopoulos
1 year
🚀 #AI in #CACS Supplements #ASCVD risk assessment in <1 min 🎯 Enhances accuracy of risk assessments 🤖 Promises personalized therapy & reduces medical workload @DeCeccoCN @AlexiaRossi04 @marly_van_assen @chrisgraeni @ShehabAnwer @IJCVImaging #YesCCT
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@IJCVImaging
International Journal of Cardiovascular Imaging
1 year
🎯The #IJCVI EiC, Christoph Gräni (@chrisgraeni)❓ What drove your choice of these five standout articles, which highlight how #YesCCT is transforming #TAVI planning ⁉️🌐 https://t.co/8rupwqzEup @domcbenz @RaberLorenz @ARrosendael @isaacshiri @MarcoGuglielmo @EdoardoConte16
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