Another fab session on #AI in #HeartFailure .
So nice to be here with friends (Ramsey Wehbe missing in pre-session📸, a member of the last-minute slide upload club😅) #ACC24
Rohan Khera David Ouyang Demi Adedinsewo, MD
Assess #algorithm performance, address #AI Bias before implementing

Another feather in his cap! Veer Sangha CarDS Lab Rhodes Trust wins the People’s Choice Award at the #ACC24 Innovation Pitch Challenge!

Advancing CV diagnosis using photos of ECGs - a field he’s helped define.

PC: Dhruva Biswas, MD/PhD Phyllis Thangaraj

Ensight-AI

Outstanding presentation by CarDS Lab postdoc Lovedeep Dhingra.

How about you just take a photo of an ECG, and define who’s at risk of future HF? A novel scalable strategy

Arya Aminorroaya Aline Pedroso Camargos Veer Sangha Tom Ribeiro

Preprint here: medrxiv.org/content/10.110…

🚨 Update 🚨

Congrats, Evan! Evangelos K Oikonomou

Amazing presentation & another win. CarDS Lab

Amazing presentations by CarDS Lab members

RCT-Digital Twins Phyllis Thangaraj
NLP for functional status Philip Adejumo
HF risk prediction from ECG photos Lovedeep Dhingra
Geotagged drive time to access EP care pegah khaloo

Yale Cardiology Yale Internal Medicine YaleMedPSTP Yale MDPhD Program

Come join us at the #EngageStage American College of Cardiology #ACC24 - where Evangelos K Oikonomou CarDS Lab is competing in the Heart Tank!

Discussing #DASSi (digital AS severity index) - sim pub in JAMA Cardiology.

Yale investigators have identified a new AI-based video biomarker that can identify those who might develop and have rapidly worsening aortic stenosis. Read more in JAMA Cardiology medicine.yale.edu/news-article/a… #ACC2024

New CarDS Lab #echofirst paper out in JAMA Cardiology #ACC24

We build on our recent work on detecting AS from 2D echo w/o Doppler using a video-based AI biomarker (DASSi, ref: tinyurl.com/hrupxwbv)

✅DASSi stratifies the risk of AS progression among more than 12k participants…

Our amazing CarDS Lab MD-PhD student, Philip Adejumo with a fabulous presentation on automating extraction of functional status in HF from clinical notes with deep learning NLP

Yale MDPhD Program Yale School of Medicine

A new #AI video biomarker is independently associated with aortic stenosis progression enabling opportunistic risk stratification across cardiovascular imaging modalities and handheld devices. ja.ma/3TO3kzn CarDS Lab Rohan Khera Evangelos K Oikonomou Yale Cardiology #ACC24

‘Anonymized’ data from

EHR, 🩻, 📲, ⌚️& other sources

is 📈fueling Pulmonary & Critical Care research

In this issue of Annals of the ATS,
Harlan Krumholz & I argue the need to innovate current models of protecting patient privacy & ensuring transparency in data provenance

If you are American College of Cardiology #ACC24 , please come say hi to our incredible team CarDS Lab

We are presenting our work on

Digital biomarkers
RCT digital twins
AI-powered diagnostics (ECG/echo/wearables) Multinational federated CES
+ more

Yale Cardiology
🔗cards-lab.org/updates/cards-…

A new data layer for multimodal #AI to understand an individual's health risks: Google Street View (GSV) of their environment, here for heart disease (CAD) prevalence
academic.oup.com/eurheartj/adva…
academic.oup.com/eurheartj/adva…
Rohan Khera

1/ Will CMSGov's new Health Equity Adjustment finally help address the regressive nature of value-based 💰 programs?

In JAMA, we find that safety-net and ⬆️ proportion Black hospitals stand to benefit the most from this policy change.

Link: jamanetwork.com/journals/jama/…

Amazing team! Kudos to Harlan Krumholz for assembling an amazing team of Editors, with an eye towards what the future of cardiology needs to represent.

Can’t wait for this new era of JACC

Justine VarieurTurco American College of Cardiology

I appreciated the opportunity to contribute to the American Heart Association's Centennial collection.

Also, to think about AI in cardiovascular care, now & in the future, with brilliant colleague Jenna Wiens University of Michigan

Out in Circ: CQO:
ahajournals.org/doi/10.1161/CI…

CarDS Lab

Finally the #NOA , & CarDS Lab officially has its 1st R01-funded program - our Evidence Innovation Program

We are building upon our foundations of AI/ML for clinical trial inference - and are working to develop rigorous standards and methods to enable reliable learning &…