Phyllis Thangaraj

Cardiology Fellow @yalecardiology, postdoc @cards_lab , @YaleMedPTSP, @Columbia MD/PhD, Bioinformatics, data quality, heart failure research

[Evangelos K. Oikonomou @ekoikonomou]

Huge congratulations to ⭐️ @TradIMYale residents @Maryam_SaniMD and @aknabdMD on co-leading 2 #AHA26 #simpubs published in @AJPCardio! 🎉

Outstanding work advancing our understanding of #AI biomarkers, #HF risk, and lifelong #CKM burden.

So proud of their achievements! 👏

[CarDS Lab @cards_lab]

Back for year two! The @cards_lab at @YaleMed led the @AHAScience #AHA26 Quality of Care and Outcomes Research (#QCOR) session, “Agentic AI in Cardiovascular Care: From Automation to Intelligent Workflows.” Thanks to all who joined! 🫀🤖 #ScientificSessions26

[Lovedeep Dhingra @LovedeepDhingra]

Excited to talk about our @cards_lab work on using autonomous agents to optimize cardiovascular AI models at #AHA26! 👨‍⚕️🤖🤖🫀

Sunday, 10:15am CT, S106B

#ScientificSessions26

[Kuchal Agadi @AgadiKuchal]

#CardioDrop #thingIdothatIdothatnooneaskedmeto
Day 1 @AHAScience

Agentic AI 🤖 is moving into cardiovascular care—but autonomy has to be earned, not assumed.

At #AHA26 QCOR, a clear framework for any clinical agent:
✅ Task — What will it do (and not do)? Clinical owner
✅ Model — Which version, tested on our patients? AI governance
✅ Data — Only the data it needs? Privacy/IRB
✅ Tools — What can it change? What’s locked? IT security
✅ Prompt — Who can change its instructions? Clinical owner
✅ Guardrails — Who watches, and who stops it? Patient safety & quality

✈️ auto land after evidence
🚗 driving (safety driver first
💊 prescribing, clinician signs

👨👩 steps back only with proof & 🤖must step back if there’s an incident.

🎯safe, evidence-based digital teammates that expand access—especially for heart failure patients who lack consistent specialty care.

📍What’s your non-negotiable before letting an agent touch a care pathway?
#AgenticAI #CardiovascularCare #AHA26 #DigitalHealth #PatientSafety

[Sud Perera @SudPerera]

Digital health could bring 🫀 care to communities without cardiologists. But are those communities ready to use it?

In @NatureMedicine, we mapped cardiometabolic disease burden, cardiology workforce, and digital readiness across the US. (🧵)

🔗 https://t.co/TwR7o8elmg

[Phyllis Thangaraj @PhyllisTweets]

Any program would be lucky to have Lovedeep!!

[Lovedeep Dhingra @LovedeepDhingra]

Hi #MedTwitter!

I'm Lovedeep, an @aiims_newdelhi (MBBS) and @YaleMed (MHS, Clinical Informatics) graduate applying to #InternalMedicine for #Match2027!

At @cards_lab @YaleCardiology, I develop AI tools to detect heart disease early and improve CV care.

AAMC ID: 14908363

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[Phyllis Thangaraj @PhyllisTweets]

@ekoikonomou @rohan_khera @HuaXu_SBMI @edwardmillermd @YaleCardiology @YaleMed @YaleIMed Congratulations Evan!!

[Dhruva Biswas, MD/PhD @dhruva_biswas]

🫀🤖 Proud to share our SOTA review - from AI-ECG & AI-Echo to digital twins and silent trials

We share a vision for implementing a deep learning health system for CV care:
🛩️ AI as a copilot augmenting perception, cognition, & action
🔧Democratized implementation → rigorous evals, safety guardrails, & diffusion across care pathways
🎯 “AI in action” = multimodal, connected systems that continuously learn & improve CV outcomes

With @af_pedroso @PhyllisTweets @modeldoc @medtmaddox @FarazAhmadMD @rohan_khera 🙏

@JACCJournals #JACCAdv
open-access📎 https://t.co/Nn2cXv9Ni4

[Dhruva Biswas, MD/PhD @dhruva_biswas]

Always special to be on the road & enjoying NoLA w @cards_lab !

[Dhruva Biswas, MD/PhD @dhruva_biswas]

Honored to speak at #AHA25 on 'Generative #AI & the Future of CV Care' on behalf of @cards_lab

I shared thoughts on 'AI for evidence generation' -
🤖 Augmenting RCTs w in-silico copilots & a digital perceptual layer
🗃️ Deep-learning health systems to maximally utilize real-world observational data

Huge thanks to our wonderful chairs Drs Randi Foraker, @Braindoc_MGH
kudos to co-speakers Drs Rima Arnaout, @PhyllisTweets , @fwasselbergs

[Rohan Khera @rohan_khera]

A terrific panel at #AHA25 discussing “Smarter Care, Healthier Hearts: AI’s Role in the Future of Cardiovascular Medicine.”

Grateful to join @SumeetSChugh, @af_pedroso, @medtmaddox, @lamcardio, @AntonioLRibeiro, and Tiffany Powell-Wiley exploring how AI is advancing precision, efficiency, and equity in cardiovascular care, from research to global implementation.

#AHA25 #AIinMedicine #DigitalHealth #GlobalHealth

[Rohan Khera @rohan_khera]

Next up, @af_pedroso @cards_lab is presenting

AI in Cardiovascular Care: Leveraging Consumer Devices for Community Screening & Remote Monitoring

Sharing how everyday wearables can help bridge gaps in access, detection, & follow-up care.

#AIinMedicine #DigitalHealth @YaleMed

[Rohan Khera @rohan_khera]

Happening now @AHAScience #aha25

“Smarter Care, Healthier Hearts: AI’s Role in the Future of Cardiovascular Medicine”

🕗 8:00–9:15 AM (CT)
📍 Main Event 2

We’ll discuss how AI can move from promise to practice, enabling smarter, equitable cardiovascular care through real-world implementation and innovation

Starting with @SumeetSChugh @CedarsSinai

[Arya Aminorroaya @AryaAminorroaya]

Honored to receive the #AHA #QCOR Early Career Investigator Award🏆

Grateful to my incredible mentor, @rohan_khera, and the all 🌟 @cards_lab for making this possible!

Thank you @AHAScience for recognizing our work advancing data-driven CV care!

@TradIMYale @YaleCardiology

[Phyllis Thangaraj @PhyllisTweets]

@ramseywehbemd @Phil_Adejumo And finally, @DrA_facc discusses computer vision and its role in #clinicalai research! #aha2025 The Clinical AI Data Scientist

[Phyllis Thangaraj @PhyllisTweets]

Starting in 217-219- @PierreEliasMD describing his amazing work on #aiecg rct! Stop by! #aha25 the Clinical AI Data Scientist Session

[Phyllis Thangaraj @PhyllisTweets]

@ramseywehbemd @Phil_Adejumo takes us through how to use #llm and #rag to improve quality care metrics! The Clinical #AI #DataScientist #aha2025

[Phyllis Thangaraj @PhyllisTweets]

RT @ekoikonomou: Anazing work by 🌟 @YaleMed student @WendyLuo0731 on analyzing aortic stenosis through the lens of AI digital biomarkers sp…