Short term prediction of #afib from ambulatory monitoring ECG using a deep neural network academic.oup.com/ehjdh/advance-… #EHJDigital #MachineLearning Nico Bruining EiC EHJ Digital Health rafavidalperez Paul Cummins EHRAPresident

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 academic.oup.com/ehjdh/advance-… #EPeeps #cardiotwitter Heart Rhythm Society Register for HRX in San Diego in Sept. ExperienceHRX.com

Can #AI predict heart complications before they happen? A new study says the capability may be closer than we think. Read more: to.philips/6011zaIQd @cardiologs Jag Singh #cardiology

Chan Ho Lim on stage 2 discussing wearables and signals, signal processing! Data input crucial, as important clean data TulaneTRIAD #HRX2022

We need more “patient-centered remote monitoring .” Jodie Hurwitz discusses challenges in remote monitoring at #HRX2022

#Epeeps We'd love to hear your thoughts about the group chat on the challenges with RPM 👇 #HRX2022

Can Health Tech Fix Afib? session at #HRX2022. StopAfib.org Founder, Mellanie True-Hills adding the patient perspective to a panel that also includes Sanjeev Bhavnani MD FDA PaceMate® | We never miss a beat.® Cardiologs @TonyFaranesh Google moderated by Jen Silva, MD. Sana Al-Khatib Jag Singh

Dr Dr Fiorina Laurent talking about our latest study using #AI to predict #Afib #HRX2022

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

#rahchristmas i love this place!

Loving the Christmas season in London from a French family #rahchristmas

Can you ask the person on my left to sing in tune? #rahchristmas

#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 > eppro01.ativ.me/src/EventPilot… VIEW ALL > bit.ly/3mXap3R

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. Dr Fiorina Laurent Read: bit.ly/43fMIUi #HRS2023 #EPeeps

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 Dr Fiorina Laurent Cardiologs Jag Singh #Cardiotwitter ow.ly/z55H50Ox023

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 Dr Fiorina Laurent Cardiologs Jag Singh #Cardiotwitter ow.ly/Gzf250Ox07S

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

AI in syncope is promising: Firoina et al. show AUC 0.87-0.90. Brilliant comments by JK Han MD #EHRA2024

Predicting life threatening arrhythmias from a single lead ECG ! academic.oup.com/eurheartj/adva… #EHRA2025 #icps

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. Dr Fiorina Laurent Tanner Carbonati, Kumar Narayanan Jia Li Christine Henry, Jag Singh bit.ly/3E2lk55