Papers
2
Total Citations
9
H-Index
2
About
Z. Ong is a researcher at the intersection of medical technology and science education, with key contributions in artificial intelligence for surgical assessment and astronomy pedagogy. Their most impactful work, an AI-based narrative review on minimally invasive surgical skills (2024, 7 citations), critically examines how standardized objective metrics can enhance the reliability of AI-driven skill evaluation, addressing significant heterogeneity in current studies. This work positions Ong as a forward-thinking voice in surgical training technology. Additionally, Ong has advanced practical astronomy education at the National University of Singapore (NUS), documenting the growth of astronomical interest and infrastructure since the 1990s (2019, 2 citations). This dual focus—bridging high-tech surgical assessment with accessible science education—highlights a versatile commitment to improving both clinical training and public scientific literacy. Ong’s work demonstrates how rigorous methodological analysis can drive innovation in skill assessment while fostering educational engagement, making their research valuable for students and professionals in medical AI, surgical training, and STEM education.
Research Focus
Key Achievements
Top Papers
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