Advancing radiotherapy education through groundbreaking research and evidence-based methodologies.
Our research spans multiple domains to enhance radiotherapy education and improve patient outcomes.
Investigating methods to improve organ contouring accuracy and consistency across different skill levels.
Developing advanced analytics to understand learning patterns and optimize educational outcomes.
Exploring artificial intelligence applications to enhance radiotherapy education and assessment.
Analyzing educational effectiveness across different cultural and institutional contexts.
Researching optimal feedback mechanisms to accelerate skill development and competency acquisition.
Developing innovative assessment techniques to evaluate radiotherapy education competencies.
Our research findings published in peer-reviewed journals and presented at international conferences.
Journal of Medical Education Technology, Vol. 45, 2024
This study demonstrates significant improvements in student learning outcomes when using integrated digital platforms for radiotherapy education.
International Conference on Medical Education, 2024
Comparative analysis of radiotherapy training approaches across different cultural and educational contexts.
Medical Education Review, In Press, 2024
Exploring the potential of artificial intelligence in automated assessment and feedback systems for radiotherapy education.
Educational Technology & Society, Vol. 27, 2023
Analysis of gamification elements and their effect on student engagement and learning outcomes in radiotherapy training.
Join our research network and contribute to the advancement of radiotherapy education worldwide.