Ahmad Pesaranghader
Papers
1
Total Citations
51
H-Index
1
About
Ahmad Pesaranghader is a researcher at the forefront of applying artificial intelligence and machine learning to interventional cardiology and biomedical data science. His work focuses on bridging the gap between cutting-edge computational methods and clinical practice, particularly in the high-stakes environment of cardiovascular interventions. His most cited paper, "Implementing Machine Learning in Interventional Cardiology: The Benefits Are Worth the Trouble" (2021, 51 citations), provides a critical roadmap for integrating AI into real-world clinical workflows, addressing both the transformative potential and the practical challenges of adoption. This work has become a key reference for researchers and clinicians navigating the intersection of data-driven innovation and patient care. Pesaranghader’s contributions are helping to shape how large-scale biomedical data and advanced analytics can improve diagnostic accuracy, procedural planning, and outcomes in cardiology. His research continues to push the boundaries of what is possible when machine learning meets medicine, making him a notable voice in the growing field of AI-driven healthcare.
Research Focus
Key Achievements
Top Papers
- 1