Thu Htet San

Papers

Total Citations

H-Index

About

Thu Htet San is a forward-thinking researcher at the intersection of medical education and artificial intelligence. Her primary research focuses on leveraging emerging AI technologies—particularly voice cloning and natural language processing—to transform how complex subjects like anatomy are taught in digital and blended learning environments. Her most-cited work, "Voice‐over anatomy lectures created by AI‐voice cloning technology: A descriptive article," has already garnered 8 citations since its 2024 publication, reflecting its timely relevance in the post-pandemic educational landscape. In this paper, San demonstrates how AI-generated voiceovers can produce high-quality, scalable lecture content, addressing the critical need for innovative online resources that emerged during COVID-19. Her contributions are notable for bridging the gap between cutting-edge AI tools and practical pedagogical challenges, offering a blueprint for educators seeking to enhance flipped classrooms and remote learning. By pioneering the use of synthetic voices in anatomy instruction, San is helping to shape a more accessible, efficient, and engaging future for medical education—a field where her work is already sparking important conversations among educators and technologists alike.