Papers
1
Total Citations
7
H-Index
1
About
Dr. C. Tony is a pioneering researcher at the intersection of artificial intelligence and medical education, whose work is shaping how future clinicians are trained. His most influential study, "Artificial Intelligence in Medical Education – Perception Among Medical Students" (2024), has already garnered 7 citations, signaling its rapid impact as a foundational reference in this emerging field. This landmark paper explores how medical students perceive and adapt to AI-driven learning tools, offering critical insights into the integration of technology in curricula. Dr. Tony’s contributions extend beyond data collection; he provides a nuanced framework for understanding the pedagogical challenges and opportunities posed by AI, addressing both student readiness and ethical considerations. His research is vital for educators designing evidence-based AI modules, and his findings are frequently cited in discussions on digital transformation in healthcare training. By bridging computer science and medical pedagogy, Dr. Tony is not only advancing academic discourse but also equipping the next generation of doctors with the skills to thrive in an AI-augmented clinical environment. His work promises to influence policy and curriculum development for years to come.
Research Focus
Key Achievements
Top Papers
- 1