Dr. Oguz Akbilgic is a Professor of Cardiovascular Medicine at Wake Forest University School of Medicine (WFUSM) and a leading health informatics researcher. He specializes in applying artificial intelligence (AI) and advanced statistical modeling to address critical challenges in healthcare. With formal training in mathematics, statistics, and machine learning, he brings deep, interdisciplinary expertise to the field of cardiovascular medicine.
His research focuses on the risk prediction, detection, and monitoring of cardiovascular disease, adverse maternal events, and movement disorders. He is particularly recognized for integrating AI models with wearable devices that remotely capture physiological waveform data, such as electrocardiograms. His work has attracted significant funding from federal agencies and private organizations, including NIH and the Michael J. Fox Foundation.
Beyond research, Dr. Akbilgic is an accomplished innovator and entrepreneur dedicated to translating AI models into regulatory compliant Software as Medical Devices (SaMD) for clinical implementation. His pioneering work earned an FDA Breakthrough Device Designation for an AI-enabled model that non-invasively and remotely tracks cardiac biomarkers through wearable technology.
Most recently, Dr. Akbilgic was named a 2025–2026 WFUSM Dean’s Research Scholar, a highly competitive honor recognizing sustained research excellence. His passion for health informatics drives the development of practical, translational solutions that enhance patient care and shape the future of healthcare.
Research Interests
- AI in Medicine
- Cardiovascular Disease Detection and Risk Prediction
- Wearable Devices and Remote Monitoring
- Digital Health and Software as Medical Device (SaMD)
