Dr. Jake Luo from the School of Public Health has been awarded two CTSI Pilot BERD Methodology Innovation awards for pioneering research in artificial intelligence and machine learning for healthcare applications.

The first project, “Development of a novel human-in-the-loop explainable artificial intelligence method for clinical decision support,” is a collaboration with Dr. David Friedland from the Medical College of Wisconsin (MCW). This innovative study aims to create an AI system that not only assists in clinical decision-making but also provides clear explanations for its recommendations. The second project, “Explainable hybrid machine learning for atrial fibrillation with electrocardiography and electronic health records,” is a joint effort with Drs. Rodney Sparapani and Patrick Noffke from MCW. This cutting-edge research focuses on developing advanced machine learning techniques to better understand and predict atrial fibrillation, a common heart rhythm disorder.