Papers
1
Total Citations
12
H-Index
1
About
Dr. Maofeng Qing is a leading researcher at the intersection of artificial intelligence and dental education, whose work is fundamentally reshaping how future clinicians are trained. His most-cited review, "The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education" (2025, 12 citations), provides a pioneering analysis of how AI technologies—including adaptive learning platforms and virtual reality simulations—can transform dental internships. Dr. Qing’s major contribution lies in demonstrating how personalized, AI-driven learning pathways can replace one-size-fits-all curricula, allowing students to master complex clinical skills at their own pace while receiving real-time feedback. By systematically evaluating these emerging tools, his work offers a practical roadmap for integrating intelligent systems into dental pedagogy, addressing critical gaps in hands-on training. Though early in his career, Dr. Qing’s research has already garnered attention for its forward-looking synthesis of educational theory and cutting-edge technology. His scholarship not only highlights the potential of AI to democratize high-quality clinical education but also sets a rigorous foundation for future empirical studies. For students and researchers exploring the future of healthcare training, Dr. Qing’s work is an essential starting point.
Research Focus
Key Achievements
Top Papers
- 1