Timothy Poterucha

Cardiologist and AI researcher at Mayo Clinic, happy father and husband. Interested in building a future of better CV care.

[Timothy Poterucha @timpotsMD]

@David_Ouyang @milos_ai Congrats to you and your lab! David, you continue to push the entire field forward. Looking forward to seeing this work in deployment!

[Timothy Poterucha @timpotsMD]

🚨 We’re hiring a Data Scientist in Cardiology @MayoClinic in Rochester, MN! Work at the cutting edge of AI + cardiology 🫀

PhD or experience in AI required. On-site, high-impact, transformative role.

Apply here 👉 https://t.co/C3uhDyvPoI

#AI #Cardiology #DataScience

[Pierre Elias, MD @PierreEliasMD]

🧵1/Today, we published a key milestone towards AI based cardiac screening in Nature. https://t.co/Lr3ymIrgz5
EchoNext outperformed cardiologists and found thousands of high-risk patients missed in routine care. We also made a version available to the world.

[Timothy Poterucha @timpotsMD]

6/6
We're making it public.
📦 EchoNext model weights
📂 100K annotated ECGs
🧪 Code, labels, benchmarks
All released to accelerate research.
Let’s build the future of cardiovascular screening—together.

@PierreEliasMD @Nature @MayoClinic @Columbia #CardioTwitter #AIinMedicine

[Timothy Poterucha @timpotsMD]

1/6
🏥 Structural heart disease (SHD) is common and often missed.

What if a standard ECG could spot it—accurately, at scale, across hospitals, and patient types?

Meet EchoNext, our AI model trained on 1.2M ECG-echo pairs.

👉 Published in Nature

🔗 https://t.co/n1nAXyfODW

[Timothy Poterucha @timpotsMD]

5/6
📈 We ran EchoNext prospectively on patients with no prior echocardiogram.

🔍 27% were flagged as high-risk.

🩺 In the DISCOVERY trial, EchoNext stratified risk so well that 73% of high-risk patients had undiagnosed SHD.

→ It works before disease is caught.

[Timothy Poterucha @timpotsMD]

The full manuscript is now published open access in @ESC_Journals—dive deeper into methods and results: https://t.co/bAGY3lEM25

Let's continue pushing forward AI in cardiovascular care! #Echocardiography #MachineLearning #AIinHealthcare

[Timothy Poterucha @timpotsMD]

🧵 AI for Valvular Heart Disease: DELINEATE-Regurgitation Study

Excited to share our latest work on using deep learning to improve diagnosis and prediction in valve regurgitation. Let's dive in! #CardioTwitter #EchoAI @PierreEliasMD https://t.co/bAGY3lEM25 (1/8)

[Timothy Poterucha @timpotsMD]

These findings suggest our AI can help clinicians determine optimal echocardiography follow-up intervals, potentially reducing unnecessary tests and better managing patient care.

[Timothy Poterucha @timpotsMD]

We are looking to hire extraordinary data scientists at Mayo Clinic to work on cutting edge cardiac AI problems. Qual: strong technical background (PhD or MS) with experience in medical imaging. On-site, Rochester, MN. Apply at https://t.co/GMYCGAFp53 or DM.

[Timothy Poterucha @timpotsMD]

@David_Ouyang @Yuki_Sahashi @StanfordDeptMed @SmidtHeart @Paul_P_Cheng @milos_ai @rheejust @james_y_zou @bryandhe @ASE360 Extraordinary work, David and team! Way to keep pushing the field forward!

[Timothy Poterucha @timpotsMD]

@David_Ouyang A tour-de-force. HUGE props to David and team for leading the way on AI echo interpretation!

[Timothy Poterucha @timpotsMD]

8/8 🔍Future work will focus on expanding this to other valvular and cardiac assessments and testing deployment in clinical settings. Hoping this work will contribute to the ongoing revolution in echocardiography and deployment of AI systems to improve cardiovascular health!

[Timothy Poterucha @timpotsMD]

1/8 🧵Excited to share our latest study, published online today in Circulation! Our team at Columbia and Cornell developed the DELINEATE-MR system, an AI-based approach to improve mitral regurgitation (MR) diagnosis by echo. @circAHA @echofirst @pierreeliasMD

[Timothy Poterucha @timpotsMD]

7/8 💪The DELINEATE-MR system was validated externally, achieving 79% accuracy and a κ of 0.80. It integrates multiple TTE views, enhancing its diagnostic precision compared to single-view models.