Top Tweets for #ECGS
Can #ChatGPT interpret #athlete #ECGs?
We tested it in a #multicenter study of 2950 Italian athletes, published in @JCDD_MDPI ---> https://t.co/QK9575rKK2
The result?
AUC 0.52
~80% of CV diseases missed
#LLMs, in their current form, should not be used in #athlete #screening.
Recently Published in #CardioOncology🫀
Clinical added value of triplicate electrocardiograms: a review of 505 triplicate sets
Read more➡️https://t.co/ZHqOMvbntS #CardioOnc #ECGs @PalaskasN @anita_deswal @ICOSociety
⌚️ @PassmanRod succinctly summarizes #wearables & #Afib monitoring
• current ⌚️ measure opportunistically
• #smartphone #PPG requires compliance (⬇️ w/>QDay measurements)
• who will read all the #ECGs?
• use ⌚️ in “blind spots”/between traditional patch ECG
#WAFib2026
🏆4° Concurso de ECG 🎄Navideños☃️
🗓️24-31 de diciembre
🎅Temática ECG
🥇Premio #CardioClinica26 para los más originales
📝Participación libre
👩⚖️ CardioTwiteros @clinica_sec
Contesta a este post con tus #ECGs👇
Mañana comenzamos‼️
#CardioClinica #CardioClinicaStyle
Can #deeplearning analysis of #preoperative #ECGs improve #riskprediction for perioperative major cardiovascular events?
https://t.co/L4qGMsBtUB
@US_FDA 21b) In this interesting study presented at #AHA25 & published in @JAMACardio, an #AI model that analyzed #ECGs and #echocardiograms identified pts at high risk for the diagnosis, who were then contacted and offered screening.
See 🔓 https://t.co/tUMQc4nq2f
🫀 Proud of this collaboration led by @jmayour: AI-enhanced infant #ECGs can accurately detect #critical #congenital #heart #disease (CCHD).
This low-cost tool could complement pulse oximetry screening, reduce late diagnoses, & improve care globally.
👉 https://t.co/OTg6Eh6gPq
#AI #Cardiology #Pediatrics #CongenitalHeartDisease #DigitalHealth #MedTech #AIinHealthcare
@JACCJournals @AHAScience @MayoClinicCV @BostonChildrens @DrMarthaGulati @PRodriguezMD @RBP0612 @ggvela @RobertHPass
🌍📷Cardiovascular disease is rising fast in Sub-Saharan Africa, yet access to #InterventionalCardiology is limited.
#AI-powered mobile #ECGs can help frontline workers detect heart attacks early & connect pts to specialists & bridging critical care gaps
➡️https://t.co/FvX0SIdjZj
@AzezeMichael @MGifawosen @BirukTesfahun62
#AIinHealthcare #GlobalHealth
#Kardia12L is more than hardware; it's powered by our FDA-cleared AI. Trained on over 1 million #ECGs, it can detect 35 different cardiac conditions, including acute MI. This supports clinicians with fast, reliable ECG insights, right at your fingertips
https://t.co/83qWbEDFd4
📌 Representative paced #ECGs of
👉 different #pacing approaches/sites
#EPeeps #WomeninEP #CardioTwitter #MedTwitter #Review #CRT #LBBP #dontdisthehis @ZacharyWhinnett @ZHeart11768530 @Hisdoc1 @drjohnm @adribaran @JagSinghMD @drrakeshg1 @EJSMD @smithECGBlog @jvillacastin @Hragy
Ideal for students + healthcare professionals using #ECGs day-to-day, 160 ECG Cases helps consolidate learning, apply ECG findings to patient management, and build readers’ proficiency + confidence.
Available at MWL libraries: https://t.co/FwGXBqqWhs
#TeamMWL #BOTW #NHSLibraries
Had a great time teaching a crash course on #ECGs first-year medical students at @UofTMDprogram. A chance to demystify ECGs together!
In this #JACCCEP paper, Dr. @David_Ouyang et al, validate a #deeplearning model to predict serum potassium levels from both 12-lead #ECGs & single-lead smartwatch data, demonstrating its utility for remote monitoring of #hyperkalemia. https://t.co/hH3jHZr6Zj
As 2025 approaches, we’re proud of a year driven by innovation, collaboration, and a commitment to transforming heart health.
🌟 We supported thousands of patients and analyzed millions of minutes of #ECGs, turning data into insights that help clinicians deliver better care.
@DrJNELLY95 @IBBI_2501 @ManualOMedicine @MakCHS_SOM @InternalmedMak @lacor_hospital @EmMakerere @NsambyaHospital @ZHeart11768530 @American_Heart @smithECGBlog @Ecgloverr @NIH @DrOribaDan @ecgandrhythmRoe @ECGcases @EM_RESUS @walinjom @RobertHermanMD @Interve15538505 @DrAkhilX @healthefyheart #ecgs shows:
1. Pseudo Wallen pattern of LVH in V2-V4
2. STD with TWi inferolateral leads - repolarization abnormality due to LVH a.k.a strain pattern
🔺LVH #ecg
Check out the latest #ParaPass case study by Steve Poulton @YorksAmbulance, focusing on all things #ECGs. 🫀
It features six multiple choice questions to test your knowledge on Supraventricular Rhythms, based on ECGs on the Go. Head to the app & top up your #CPD 👉 https://t.co/Cb1N9IYtLU
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