Nils Perrin
Papers
1
Total Citations
51
H-Index
1
About
Nils Perrin is a leading researcher at the intersection of artificial intelligence and interventional cardiology, where he investigates how machine learning can transform clinical decision-making and procedural outcomes. His most-cited work, “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 cardiac care, highlighting both the transformative potential and the practical challenges of adoption. Perrin’s research focuses on leveraging high-quality biomedical data and advanced computing to improve diagnosis, risk stratification, and treatment planning in catheter-based interventions. His contributions are particularly notable for bridging the gap between cutting-edge computational methods and the rigorous demands of clinical practice. With a growing citation impact and a reputation for pragmatic, forward-thinking analysis, Perrin is helping to shape the next generation of data-driven cardiology. His work is essential reading for clinicians and researchers seeking to understand how machine learning can be responsibly and effectively deployed in high-stakes medical environments.
Research Focus
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Top Papers
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