Anil John

Papers

Total Citations

125

H-Index

About

Anil John is an emerging researcher at the intersection of artificial intelligence and medical education, with a focused body of work examining how future healthcare professionals perceive and engage with rapidly evolving technologies. His most significant contribution, a 2024 study on medical students' perceptions of AI in medicine, has garnered an impressive 118 citations in a remarkably short period, signaling the timeliness and relevance of his research agenda. At a moment when AI applications — from robotic surgery to diagnostic image analysis — are fundamentally reshaping clinical practice, John's work addresses a critical gap: understanding whether medical curricula are adequately preparing the next generation of physicians for an AI-integrated healthcare landscape. Aligning with calls from the World Medical Association to embed AI literacy into medical training, his research provides empirical grounding for curriculum reform conversations happening globally. With over 125 combined citations across his published work, John is establishing himself as a meaningful voice in health professions education research, contributing essential evidence to guide institutions navigating the complex challenge of modernizing medical training for the digital age.