AI has become a pervasive technology in our lives, and its application to health is among the most promising—and challenging—areas of impact. More recently, attention has shifted toward responsible AI, which seeks to ensure that AI systems are safe, transparent, fair, trustworthy, and ethical.
In this talk, we present our work on human-centered AI models for health, focusing on the diagnosis of cardiovascular conditions from electrocardiograms (ECGs). We discuss how these models have been improved not only in terms of performance and effectiveness, but also to better support responsible deployment and real-world scalability, including applications across the state of Minas Gerais, Brazil. The talk will conclude with emerging trends and future directions in responsible AI research and development for healthcare.
Speaker
Wagner Meira Jr., PhD
Professor of Computer Science, Universidade Federal de Minas Gerais (UFMG), Brazil
Host: Translational Data Analytics Institute