Chris Haggerty retweeted
Want to know the state of AI & Cardiology? Our #JACC reviews are for you!
bit.ly/3J5yj4W
Pt 1: The field's most comprehensive primer. Every study you should know about in 1 place
Pt 2: Tackling today's evidence, equity, & regulatory challenges
@EricTopol @mattlungrenMD
#ACC24 #JACC SimPub: Cardiology's future is #AI-powered!
Discover how new models are transforming CV care, from diagnosis to treatment in this review topic of the week: bit.ly/3J5yj4W
#ArtificialIntelligence #MachineLearning @mvperez92 @RobertAvramMD @jpirruccello
Chris Haggerty retweeted
🚀🫀Explore recent breakthroughs, future directions, and evaluation & infrastructure needs for #AI-augmented cardiovascular care. Learn more in our two-part review published in @JACCJournals #ACC24.
Part 1: jacc.org/doi/10.1016/j.jacc.…
Part 2: jacc.org/doi/10.1016/j.jacc.…
Awesome work - congrats @David_Ouyang and team
We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in @nature! @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed
nature.com/articles/s41586-0…
1/n
Chris Haggerty retweeted
Excited to finally share the results of our GWAS and multi-trait analyses characterizing the 🧬 genetic architecture of 🫀heart failure, now published in @NatureComms
Thanks to @damrauer and @bvoight28 for their mentorship, and all the contributors!
nature.com/articles/s41467-0…
Awesome way to cap the first week! (Even if my team’s spaghetti structure didn’t quite get the job done..)
We got to welcome our new CRADLE teammates to NYC for an on-site! Bringing data scientists like @ChrisMHaggerty to @NYPAdvances and @ColumbiaMed, including our Cath lab & CCU. Started the day with which team could use spaghetti, string, and tape to make the tallest structure 😁
Some news: I’ll be starting Monday as Director of Data Science at NewYork-Presbyterian .. teaming up with @PierreEliasMD to accelerate development and implementation of machine learning in Cardiology across NYP, Columbia, and Cornell hospitals. Really excited for the road ahead..
Fantastic! Congrats Cindy! @Cynthia33573648
This Post is from an account that no longer exists. Learn more
Chris Haggerty retweeted
Out today in @JACCJournals, our ValveNet study shows a ML model can detect mod-severe left sided valve disease from ECG. This model is currently running live in our health system daily. Now let me tell you everything wrong with it! A brief 🧵 bit.ly/3boQBRs
Chris Haggerty retweeted
⚡️ From @ChrisMHaggerty + team: Loss-of-Function FLNC Variants Are Associated With Arrhythmogenic Cardiomyopathy Phenotypes When Identified Through Exome Sequencing of a General Clinical Population ahajournals.org/doi/abs/10.1…
@AHAScience #AHAjournals
🎥 @AnwarChahal @jenniejlin
Chris Haggerty retweeted
#OriginalResearch: #rECHOmmend- an ECG-based machine-learning approach identifies patients at high-risk of undiagnosed structural heart-disease detectable by echocardiography @BrandonFornwalt @ChrisMHaggerty @_noahzim_ #AHAJournals ahajournals.org/doi/10.1161/…
Chris Haggerty retweeted
So EXCITED to share that our (@AliveCor & @MayoClinic @MayoClinicCV) #ArtificialIntelligence-derived #QTc just received @US_FDA clearance. The QTc is now officially a readily obtainable, clinically actionable VITAL SIGN with life saving implications. @HRSonline #HRS2022 🤗
Great work looking at genetic correlations and outcomes in HFsnEF in UKB and BioME.
You’ve heard of HFrEF, HFmrEF and HFpEF… but have you heard of their sibling HFsnEF (heart failure + SUPRANORMAL EF)?
Our new study in @ESC_Journals doi.org/10.1002/ejhf.2482 sheds light on this understudied/underdiagnosed entity 🔎🫀
#CardioTwitter #CardioEd #MedTwitter
1/8
Why wouldn’t it be both with TTN.. Occam’s Razor need not apply with that gene
How do TTN mutations cause DCM? Haploinsufficiency? Poison Peptides? To date the evidence has been… well, neither. That changes now, with these side-by-side papers in @ScienceTM. 1/3 science.org/doi/10.1126/scit…
If there was an annual award for most popular cardiogenomics gene, FLNC would be firmly in the running to win this year - there have been a few great international FLNC cohorts published, plus its addition to the @TheACMG SF recommendations.
Actual number of affected individuals would likely be higher with result-directed evaluation (and accounting for survival bias). So these findings support the consideration of FLNC LOF as actionable secondary genetic findings.
Thanks for reading! I'm no @vnparikh with my tweetorial skills, but hopefully it is satisfactory for @jpirruccello





















