Mary Robakowski

Cleveland State University

Papers

2

Total Citations

9

H-Index

2

About

Mary Robakowski is a rising researcher at the intersection of cardiovascular medicine and artificial intelligence, with a primary focus on aortic stenosis—the most common valvular heart disease in the developed world. Her groundbreaking work centers on developing AI-powered multimodal models that create personalized hemodynamic simulations for patients with aortic stenosis. Her most cited paper (6 citations) introduces a novel framework that integrates high-fidelity preclinical modeling with machine learning to overcome the traditionally complex workflows that have limited the clinical adoption of such models. By enabling more accessible, tailored treatment planning and early diagnosis, Robakowski’s contributions promise to transform how clinicians approach therapeutic innovation for individual patients. Her research directly addresses a critical gap in cardiovascular care, demonstrating how AI can bridge the divide between computational modeling and real-world clinical application. Though early in her career, her work has already garnered attention for its potential to improve outcomes in a disease affecting millions. Robakowski’s achievements position her as a promising voice in personalized medicine, where her multimodal approach could set new standards for precision cardiology.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis
6 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Cleveland State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago