Researchers at the University of Pittsburgh School of Nursing and UPMC are revolutionizing cardiac care with the power of artificial intelligence (AI) to save more lives.
Researchers are enhancing the speed and accuracy of diagnosing and classifying heart attacks by developing a cutting-edge machine-learning model. Traditional electrocardiogram (EKG) patterns alone may not provide a complete picture. Still, with AI, doctors can uncover hidden patterns and examine hundreds of EKG features to identify heart attacks more effectively. The study aims to determine the optimal utilization of these algorithms to benefit patients.
“Look at everything you can see on an EKG, and every single lead and every single deflection, every single measurement. We ended up with almost 600 features. That’s how many things we could measure under EKG. Why don’t we use AI?” Pitt Nursing associate professor and vice chair for research Salah Al-Zaiti told WTAE-TV Pittsburgh.
You can read more about this groundbreaking research, and watch WTAE-TV’s coverage HERE: https://www.wtae.com/article/pittsburgh-ai-heart-attack-study/44391024