Bina Joe

University of Toledo

Papers

2

Total Citations

20

H-Index

2

About

Bina Joe is a distinguished researcher whose work sits at the compelling intersection of artificial intelligence and cardiovascular medicine. Her most recognized contributions focus on the application of machine learning techniques to advance our understanding and treatment of heart disease — a rapidly evolving frontier that holds tremendous promise for transforming clinical practice. Joe's 2021 landmark work, "Application of Artificial Intelligence in Cardiovascular Medicine," has garnered significant attention within the research community, accumulating citations across multiple publication venues and demonstrating the breadth of its reach. In this influential contribution, she explores how advances in ML-based techniques are reshaping cardiovascular research, drawing connections between developments in fields as diverse as robotics and medicine to illuminate new diagnostic and therapeutic possibilities. Her research reflects a forward-thinking approach to solving some of cardiology's most pressing challenges, leveraging data-driven methodologies to extract meaningful insights from complex biomedical information. With her work cited over 20 times across related publications, Joe has established herself as a meaningful voice in the emerging dialogue between computational science and heart health — making her scholarship particularly valuable for students and researchers navigating this exciting interdisciplinary landscape.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Application of Artificial Intelligence in Cardiovascular Medicine
12 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Toledo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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