Dr Fiorina Laurent
@Fiorina_laurent
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Electrphysiologist @ icps
Ile-de-France, France
Joined March 2014
A new milestone reached in near-term sudden death prediction thanks to AI ! Next challenge: ensuring timely intervention for patients at imminent risk of arrest. @Fiorina_laurent Tanner Carbonati, @DrKumarCardio @JiaLi52524397 Christine Henry, @JagSinghMD
https://t.co/BBSnODhgvM
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Predicting life threatening arrhythmias from a single lead ECG ! https://t.co/gU5MURvKI6
#EHRA2025 #icps
academic.oup.com
AbstractBackground and Aims. Accurate near-term prediction of life-threatening ventricular arrhythmias would enable pre-emptive actions to prevent sudden c
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Can AI help us in looking deeper in the ECG of our pts with syncope and tell us whether the patients had paroxysmal AV or SA pause? #EHRA2024
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AI in syncope is promising: Firoina et al. show AUC 0.87-0.90. Brilliant comments by @netta_doc #EHRA2024
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Novel AI model correctly identified patients at near-term risk of life-threatening sustained VT who could potentially benefit from preemptive interventions to prevent SCD. @Fiorina_laurent Read: https://t.co/uqzvaqrQmJ
#HRS2023 #EPeeps
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AI analysis of a single lead ECG monitor correctly identified patients at near-term risk of life-threatening sustained VT in #HRS2023 late-breaking study #EPeeps #AI @Fiorina_laurent @CardioLogs @JagSinghMD #Cardiotwitter
cardiovascularbusiness.com
New research suggests AI could offer physicians a new, state-of-the-art approach to sudden cardiac arrest risk management.
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AI analysis of a single lead ECG monitor correctly identified patients at near-term risk of life-threatening sustained VT in #HRS2023 late-breaking study #EPeeps #AI @Fiorina_laurent @CardioLogs @JagSinghMD #Cardiotwitter
cardiovascularbusiness.com
New research suggests AI could offer physicians a new, state-of-the-art approach to sudden cardiac arrest risk management.
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#HRS2023 SESSION SPOTLIGHT: #Latebreakers are the ❤️ of every annual meeting & this year there are more being presented than ever before! #EPeeps #EPresearch ADD FRIDAY'S VENTRICULAR ARRHYTHMIAS LBCT TO YOUR ITINERARY > https://t.co/Bcc20KCjxA VIEW ALL > https://t.co/U5z6z4OACe
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Can you ask the person on my left to sing in tune? #rahchristmas
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Loving the Christmas season in London from a French family #rahchristmas
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L’intelligence artificielle a de nombreux avantages en #cardiologie et dans la pratique médicale en général. Pour les présenter & expliquer aux #ProDeSanté, notre collaboratrice Assia Benelhadj a organisé un tour de 🇫🇷 aux côtés des experts @Fiorina_Laurent & Arshid Azarine #IA
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@chanholim on stage 2 discussing wearables and signals, signal processing! Data input crucial, as important clean data @TulaneTriad #HRX2022
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We need more “patient-centered remote monitoring .” @jhurwitz55 discusses challenges in remote monitoring at #HRX2022
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Can Health Tech Fix Afib? session at #HRX2022. @stopafib Founder, Mellanie True-Hills adding the patient perspective to a panel that also includes @SanjeevBhavnani @FDA @PaceMateLIVE @CardioLogs @TonyFaranesh @Google moderated by @jenniferavari. @SanaAlkhatib9 @JagSinghMD
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Can #AI predict heart complications before they happen? A new study says the capability may be closer than we think. Read more: https://t.co/iwi39rdnYN
@cardiologs @JagSinghMD #cardiology
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Sharing our recent work and the very first study of short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network https://t.co/lEQo4GZMPy
#EPeeps #cardiotwitter
@HRSonline Register for HRX in San Diego in Sept. https://t.co/ZNgRoMqjv1
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Short term prediction of #afib from ambulatory monitoring ECG using a deep neural network https://t.co/gXyK51cRup
#EHJDigital #MachineLearning @BruiningNico @rafavidalperez @pauldub67 @EHRAPresident
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