Nisha Kurian

Papers

Total Citations

125

H-Index

About

Nisha Kurian is a rising voice in the intersection of artificial intelligence and medical education. Her research centers on understanding how future physicians perceive and integrate AI into clinical training and practice. Her most-cited work, "Artificial intelligence in medical education - perception among medical students" (2024, 118 citations), provides a crucial early assessment of medical students’ attitudes toward AI tools like robotic surgery and image analysis, directly responding to the World Medical Association’s call for AI literacy in curricula. This study has become a foundational reference for educators designing AI-competent medical programs. Kurian’s follow-up work (7 citations) reinforces these findings, underscoring the urgency of adapting medical training to an AI-driven healthcare landscape. By capturing student perspectives at a pivotal moment, her contributions help shape policy and pedagogy, ensuring that tomorrow’s doctors are not only technologically adept but also critically aware of AI’s implications. Her research is essential reading for anyone exploring the human side of medical AI adoption.