Rohan Khera

@cardslab.bsky.social is leading a workshop at #AHA25 #QCOR25

#AI in Action: LLM-Powered Quality Assessment & Improvement in the EHR

Learn how to:
🔍 Use LLMs to measure care quality
⚡ Build real-time AI workflows
🌐 Implement scalable, equitable solutions

📍 Session: QCOR.01 | 💻 Bring your laptop!

🚨 The @cardslab.bsky.social at Yale is recruiting postdocs in our clinician–data scientist track!

🔹 MD or MD/PhD
🔹 Python/R skills
🔹 Research experience
🔹 Passion for AI + digital health

📝 Apply early: CV + 250-word statement
🔗 apply.cards-lab.org/apply/CATSP004

#AI #Cardiology #Postdoc

Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring - npj Cardiovascular Health npj Cardiovascular Health - Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring

In @natureportfolio.nature.com's NPJ Cardiovascular Health, our review on AI-enhanced digital health with consumer devices

We discuss using these devices for scalable CV screening, prediction & monitoring

Led by @aline-pedroso.bsky.social @cardslab.bsky.social

www.nature.com/articles/s44...

Check out #PanEcho, now in @jama.com

✅ open weights
✅ multiview multitask reporting
✅ international validation
✅ works with POCUS

Amazing effort @cardslab.bsky.social
@giholste.bsky.social @rohankhera.bsky.social

+ @atlaswang.bsky.social, Márton Tokodi & Attila Kovács

#CardioSky #EchoSky

Figure 4. Task-Specific ViewRelevance

An #AI system that automatically interprets echocardiograms maintained high accuracy across geography and time from complete and limited studies.

https://ja.ma/4jYWBgI

Thank you @erictopol.bsky.social for highlighting our work! Huge honor

This is the product of deep interdisciplinary collaboration btw engineers & clinicians. Grateful to teammates & mentors @ekoikonomou.bsky.social @rohankhera.bsky.social

+ Model is publicly available! github.com/CarDS-Yale/P...

Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning This study evaluates the accuracy of an artificial intelligence (AI) system on a comprehensive set of 39 echocardiographic labels and measurements on transthoracic echocardiography.

When A.I. can interpret an echocardiogram.
(one of the most complex medical images)
jamanetwork.com/journals/jam...

Nice to chat with @gbarnesmd.bsky.social for @medthority.bsky.social podcast on the role of AI in the risk assessment and management of thromboembolic disorders.

How can the use of #AI in cardiovascular care empower clinicians to uncover new findings? Hear @rohankhera.bsky.social and @gbarnesmd.bsky.social discuss the present and future impact of AI technologies on the management of AF in our expert podcast series #MedSky #Cardiology

ow.ly/PpTc50VVJOJ

YouTube video by Bloomberg Originals How Is AI Revolutionizing Medicine?

How is AI revolutionizing medicine? Watch the @bloomberg.com story featuring @cardslab.bsky.social @yaleschoolofmed.bsky.social

youtube.com/watch?v=Fqsv...

@ekoikonomou.bsky.social @aline-pedroso.bsky.social @phyllisthangaraj.bsky.social

In an individual patient data meta-analysis of 7,805 patients enrolled in 7 RCTs, Dr. @rohankhera.bsky.social and colleagues of @cardslab.bsky.social found evidence of superiority for tirzepatide in resolving metabolic syndrome www.jacc.org/doi/10.1016/...

#ACC25 #JACC #T2D #diabetes

Some team members on Bsky: @ekoikonomou.bsky.social @phyllisthangaraj.bsky.social @aline-pedroso.bsky.social @lovedeepdhingra.bsky.social + others

CarDS Lab (@cardslab.bsky.social) will be in full force at #ACC25. We are presenting our work spanning:

#AI for cardiac diagnosis
#DigitalBiomarkers
#Precision inference from RCTs
#DigitalHealthPolicy
#NLP & #LLM #RAG for scalable phenotyping in the #EHR

See you in Chicago this weekend!

Also, read the excellent editorial that accompanies our study.

The single image-based AI-ECG score was either comparable or exceeded the performance of a multicomponent standard in PCP-HF (computable at Yale and ELSA-Brasil)

We demonstrate a several-fold higher risk of HF with higher thresholds of AI-ECG risk score for LV dysfunction.

The effect estimates were more pronounced in rigorous cohort studies in the UK and Brazil, likely due to more complete & robust outcome capture vs EHR

Study design⬇️. We posited that cross-sectional signatures of LV dysfunction on AI-ECG would portend future HF risk.

Rather than build models for HF risk with time-varying confounding, we focused on a mechanistic approach.

+ broadly validated the result vs. risk scores

The work is a collaboration between our growing global Precardia network - a network of federated science in AI. Watch this space for more: precardia.org

Tagging those on here: @ekoikonomou.bsky.social @aline-pedroso.bsky.social

In the European Heart Journal, we report a novel paradigm for predicting HF risk.

AI applied to a single ECG image. Without risk scores or other testing.

Led by @lovedeepdhingra.bsky.social @cardslab.bsky.social

@yaleschoolofmed.bsky.social

🔗 academic.oup.com/eurheartj/ad...

@ekoikonomou.bsky.social @aline-pedroso.bsky.social @lovedeepdhingra.bsky.social @phyllisthangaraj.bsky.social

Happy New Year from my friends & work family at @cardslab.bsky.social

Grateful for 2024, where we grew our group & strengthened our culture & community around advancing science while having fun 😊

Hoping to build on this foundation in 2025!

Expanding artificial intelligence to understudied populations: congenital heart disease as the next frontier This editorial refers to ‘Electrocardiogram-based deep learning to predict mortality in pediatric and adult congenital heart disease’, by J. Mayourian et a

Our #EHJ editorial on the work by Mayourian et al using #AI ECG to predict 5y outcomes in congenital heart disease is out.

We explore the potential, challenges, and future steps for AI in understudied populations.

tinyurl.com/y8sk7t6j

@cardslab.bsky.social @rohankhera.bsky.social #CardioSky

If you’re at #CVCT24, join us for:
1️⃣AI for design and dissemination of clinical trials (Mon, 12/9) w @hmkyale.bsky.social @jonwcunningham.bsky.social

2️⃣Enabling screening and tracking of cardiac amyloidosis (Tue, 12/10)

@cardslab.bsky.social

Schedule:
www.globalcvctforum.com/_files/ugd/d...

These peeps are worthy of my first post:

The reason we do what we do
#YaleCardiology #CardioSky
#BestFellowsEver
@edwardmillermd.bsky.social @andishahu.bsky.social

My PhD student @giholste.bsky.social keeps pushing the boundaries of **my knowledge** into uncharted territory. Isn’t this the ultimate proud advisor moment?

Excellent JAMA session on AI-enabled digital biomarkers #AHA24

@rohankhera.bsky.social

Thanks @ahascience.bsky.social for an excellent meeting & congrats to organizers @dramitkhera.bsky.social & Jo Chikwe

AI Poised to Change the Landscape of Echocardiography Two studies presented at AHA show the capacity of AI to improve sonographer accuracy, consistency, and workflow.

“Echocardiography is the ideal place to use AI,” comments
David Ouyang. At #AHA24, two new studies added further evidence in support of AI’s potential to transform the echocardiology landscape. For all the details on the study presentations: tctmd.com/news/ai-pois... @rohankhera.bsky.social

#YaleCardiology

#YaleDataScience

#CarDSLab

#UTAustin

GitHub - CarDS-Yale/PanEcho: "PanEcho: Complete AI-enabled echocardiography interpretation with multi-task deep learning" by Gregory Holste, Evangelos K. Oikonomou, Zhangyang Wang, & Rohan Khera "PanEcho: Complete AI-enabled echocardiography interpretation with multi-task deep learning" by Gregory Holste, Evangelos K. Oikonomou, Zhangyang Wang, & Rohan Khera - CarDS-Yale/PanEcho

Preprint: www.medrxiv.org/content/10.1...
Code: github.com/CarDS-Yale/P...

The model generalized to external datasets EchoNet-LVH and EchoNet-Dynamic to achieve excellent performance in these new datasets it had never seen.
Also, it serves as a foundation model for new tasks, with the ability to efficiently fine-tune