Oguz Akbilgic on AI-enabled ECG and the need for population-level screening to detect, in the asymptomatic stage, individuals who are at greatest risk of cardiac dysfunction. Off to learn more about ECG-Air!

Looking forward to grand rounds and a full day of meet and greets with visiting speaker Oguz Akbilgic on 6/22! In-person seating available in the cardiology conference room or you can join via Zoom! University of Wisconsin Department of Medicine ce.icep.wisc.edu/cardiovascular…

Oguz Akbilgic From Sandy Engelhardt - an introduction for me to federated learning & testing algorithm reproducibility to overcome the generalisation gap - looking forward to learning more about how this can help TAVI outcome prediction

Great reunion with Francois Modave , friend and boss, at #AI4Healt

Oguz Akbilgic Sandy Engelhardt Final presentation from Harriette Van Spall, MD MPH on applications of AI in heart failure - the huge potential and the many barriers to allowing AI to improve patient outcomes mechanisms. Very engaging!

Oguz Akbilgic giving a great talk on the burden of #CVD and the importance of early diagnosis and intervention at #ESC2023 ’s #ai in #hf panel discussion.
Qure.ai Nate Hunter Dr. Charu Arora

Yes. We can also estimate blood pressure from ECG using AI. We hope to contribute solving home based blood pressure monitoring problem in near future! #ACC2024 #ACC24 Wake Forest University School of Medicine @ibrahimkarabayır

Thanks to chairs Rebecca Yapejian, MSN, FNP-C, CCDS, AACC and Dr. Richard Page for the great session where we presented our Maternal Health Co-Pilot App at Heart Rhythm Society

Wonderful start to #ACC24 #acc and to have a chance to meet and catch up with friends and the leaders of the field Mitchell Elkind nancyatheart . We have four presentations, come meet us

Zachi Attia presenting @ecginformatics by WF Center for Biomedical Informatics (WFBMI) & Wake Forest University School of Medicine . Thank you Oguz Akbilgic for organizing it.

Oguz Akbilgic 👏👏👏👏👏🧿

Oguz Akbilgic Very true.

During #WomensHistoryMonth , we will be highlighting some of the research our department is doing on women's health. Check out this multi-center study with authors from our Section on Cardiology Wake Forest Baptist Health Cardiology on peripartum cardiomyopathy!

Terrific work by my friend Oguz Akbilgic !

We are so proud of you Liam

Great to have Oguz Akbilgic visit and be hosted by Matthew Kalscheur and UW Cardiology to share his amazing research in AI applications with ECGs and signal processing!

Happy to share this ECG-AI paper validating previously developed 10-year heart failure risk prediction model. The interesting point is that the model is derived using data from White and African Americans yet it also works well on Asian and Hispanic .
sciencedirect.com/science/articl…

What do you think about this model?? Sherry-Ann Brown, MD, PhD, FACC, FAHA Oguz Akbilgic 👇🏾

Maternal mortality-morbidity rates are very high in the US, and in many other countries in the world. Combined with our other AI algorithm to detect peripartum cardiomyopathy, we can change that #9plus1AI
ECG-AI model for timely detection of preeclampsia academic.oup.com/eurheartj/arti…