Phan‐Kiet Tran

Papers

Total Citations

H-Index

About

Phan‐Kiet Tran is a researcher at the forefront of surgical performance assessment, specializing in computer vision and intra-operative motion tracking. His work addresses a critical gap in surgical education: the need for objective, real-time feedback during live operations. Tran’s most-cited paper, “Vision-Based Tracking of Surgical Motion During Live Open-Heart Surgery” (2021, 22 citations), introduces a novel, non-invasive method to capture and analyze surgeons’ hand movements directly in the operating theater. This breakthrough bypasses the limitations of traditional assessment tools—such as human observation bias and laboratory constraints—by leveraging vision-based algorithms to track motion in real-world surgical settings. The study’s impact is evident in its citation count, which reflects growing interest in data-driven performance metrics for improving surgical outcomes and training. Tran’s contributions are particularly notable for their translational potential, offering a scalable solution to enhance surgeon skill development and patient safety. By pioneering techniques that bring motion tracking from controlled labs to live surgeries, Tran is shaping a future where intra-operative feedback becomes a standard tool for surgical excellence.