Ramsey M. Wehbe

Dr. Ramsey M. Wehbe, MD, MSAI is a dual-appointed Assistant Professor at the Medical University of South Carolina (MUSC), holding positions in both the Division of Cardiology and the Biomedical Informatics Center. As a physician scientist, he merges clinical cardiology with artificial intelligence to advance cardiovascular care.

• Education: Duke University (undergraduate), University of North Carolina at Chapel Hill (MD), Northwestern University (internal medicine residency, cardiovascular disease fellowship, and advanced heart failure fellowship)
• Specialized Training: Master of Science in Artificial Intelligence from Northwestern McCormick School of Engineering

Dr. Wehbe's research interests focus on applying deep learning techniques to multi-modal unstructured clinical data including cardiac imaging, electronic health records, and sensor data. His work aims to uncover pathophysiologic insights, enhance diagnostic accuracy, and improve patient outcomes in heart failure management. The Heart AI Lab (HEAL) under his leadership develops innovative approaches to bridge AI and clinical cardiology.

His recent publications demonstrate a strong emphasis on large language models for clinical applications, AI-driven cardiac imaging analysis, and predictive modeling for heart failure patients. The research spans multimodal data fusion, electronic health record mining, and clinical decision support systems.

While the text doesn't explicitly list scientific awards, it does mention he has received multiple research grants in the field of clinical artificial intelligence applications. As part of MUSC's advanced heart failure program, he works closely with LVAD patients and explores AI-enhanced phenotyping of heart failure syndromes.