AI4QI Plenary Session: The Journey of AI from Computer to Clinical Workflow

Wednesday, April 24, 2024 10:45 – 11:45 AM
Location: Asbury Hall A-B, Disney Yacht Club

Learning Objectives:

  • Understand the role of AI in QI
  • Understand the need for developing clinically actionable AI
  • Understand the need to expand the use of AI outside the home institution

About the Speaker:


Wake Forest University

Oguz Akbilgic, PhD

Oguz Akbilgic, DBA, PhD is a biomedical informaticist, innovator and entrepreneur with training and expertise in machine learning, statistical modeling and business administration. His research focus is on the development of AI models for detection, risk prediction, and prognostic assessment of cardiovascular diseases including but not limited to heart failure, sudden cardiac death, cardiomyopathies, valvular disease, arrhythmias. His research has been funded from several organizations including NCI, NHLBI, and Michael J Fox Foundation. He has authored over hundred peer reviewed research papers and two book chapters.