Chikku Babu

Papers

Total Citations

125

H-Index

About

Chikku Babu is an emerging researcher whose work sits at the intersection of artificial intelligence and medical education, a rapidly evolving field reshaping how future clinicians are trained. Their most notable contribution, a 2024 study examining medical students' perceptions of artificial intelligence in medicine, has garnered remarkable attention, accumulating 118 citations within its publication year — a testament to the timeliness and relevance of the research. This work directly responds to calls from the World Medical Association to integrate AI literacy into medical curricula, investigating how students perceive transformative technologies such as robotic surgery and medical image analysis. By capturing student attitudes toward AI integration, Babu's research provides critical foundational data that can inform curriculum developers, medical educators, and policymakers working to prepare physicians for an AI-augmented healthcare landscape. The rapid citation uptake of this study signals that the academic community recognizes its importance in addressing a genuine gap in medical training discourse. Babu's scholarship positions them as a valuable voice in conversations about how medicine must evolve to embrace technological innovation while ensuring future doctors remain both competent and confident navigating AI-driven clinical environments.