J. Dawn Abbott

Brown University

Papers

1

Total Citations

140

H-Index

1

About

J. Dawn Abbott is a leading interventional cardiologist whose research bridges the cutting edge of artificial intelligence with clinical cardiovascular care. Her most-cited work, "Impact of Artificial Intelligence on Interventional Cardiology" (2019, 140 citations), has become a foundational reference for integrating machine learning into procedural decision-making, from lesion assessment to stent optimization. Beyond AI, Abbott has made substantial contributions to the study of coronary artery disease, particularly in complex interventions and the management of acute coronary syndromes. Her research has been instrumental in refining risk stratification models and improving outcomes for high-risk patients. With over 140 citations on her landmark AI paper alone, her work has influenced both clinical practice and the broader conversation on digital health in cardiology. Abbott is also recognized for her leadership in multicenter trials and her role as an educator, mentoring the next generation of interventionalists. Her ability to synthesize technological innovation with patient-centered care makes her a pivotal figure in the evolution of modern interventional cardiology.

Research Focus

Key Achievements

1
H-Index
1
Papers
140
Total Citations
140
Avg Citations/Paper
🏆 Most Cited Paper
Impact of Artificial Intelligence on Interventional Cardiology
140 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Brown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago