Ishan Manandhar

Papers

Total Citations

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About

Ishan Manandhar is an emerging researcher at the intersection of artificial intelligence and cardiovascular medicine, contributing to one of the most rapidly evolving frontiers in modern healthcare. His most recognized work centers on the application of machine learning-based techniques to cardiovascular research, exploring how AI can transform diagnostic, predictive, and therapeutic approaches within the field. Published in 2021, his influential paper on AI in cardiovascular medicine has collectively garnered 20 citations, reflecting growing interest from the medical and computational research communities in this interdisciplinary space. Manandhar's work arrives at a critical moment when the healthcare industry is increasingly turning to data-driven methodologies to address complex clinical challenges, and his research helps map the landscape of these emerging possibilities. By synthesizing advances in ML with cardiovascular science, he contributes foundational knowledge that supports both clinicians and researchers seeking to harness AI's potential in improving patient outcomes. His scholarship positions him as a thoughtful voice in the dialogue between technology and medicine, making his work particularly valuable for students and researchers navigating this dynamic and consequential field.