Looking back at a successful #AHA23

What a whirlwind American Heart Association #AHA23 was for the Cardiovascular Data Science (CarDS) Lab!

The team released new tools we hope will improve cardiovascular care (ECG-GPT, Trialaccelerator, among others), won major awards, and enjoyed hanging out in Philly. We even had members travel in from Oxford (Veer Sangha) and Boston (Arash A. Nargesi) to present their work and celebrate.

Everyone in the team did well, but some folks who deserve a special mention:

(1) Evangelos K. Oikonomou - for winning the prestigious Elizabeth Barrett Connor Award for his work on adaptive trial enrichment using ML.

(2) Arya Aminorroaya, MD, MPH, for competing for two awards for ARISE - an algorithmic approach to efficient Lp(a) testing - winning 2nd place ($25K award) in the AHA Data Analysis Challenge.

(3) Arash A. Nargesi for successfully presenting a complex study on using NLP for care quality measurement in HF for the QCOR YIA.

(4) Veer Sangha and Lovedeep Dhingra won a travel award from QCOR

More on ECG-GPT by Akshay Khunte in a separate post, but we're hoping that it improves care in low-resource settings.

I also had the opportunity to showcase the team's work in forums discussing the AI-fueled future of US Healthcare, participate in a session on JAMA and Circulation on AI and publishing, and participate in the Late Breaking Session on AI in practice.

What a fulfilling experience for the team!

Rohan