Chandana Wijeweera

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About

Chandana Wijeweera is a pioneering researcher at the intersection of artificial intelligence and surgical education, with a primary focus on advancing objective skill assessment in minimally invasive surgery. Their landmark 2024 narrative review, "Artificial intelligence based assessment of minimally invasive surgical skills using standardised objective metrics," has already garnered 7 citations, establishing a critical framework for evaluating AI reliability in surgical training. Wijeweera’s major contribution lies in systematically investigating how standardised objective metrics can serve as a robust foundation for AI-driven skill evaluation, addressing the significant heterogeneity that has plagued prior studies. By synthesizing evidence on AI systems that leverage these metrics, their work provides a roadmap for developing more consistent, reliable, and automated assessments of surgical proficiency. This research is instrumental in bridging the gap between machine learning and clinical education, offering potential to revolutionize how surgical trainees are evaluated and credentialed. Wijeweera’s insights are particularly valuable for educators and technologists seeking to implement AI tools that enhance training outcomes while maintaining rigorous, standardized benchmarks. Their work continues to shape the future of competency-based surgical training.