Jinyi Qi
Papers
3
Total Citations
22
H-Index
2
About
Jinyi Qi is a leading researcher in biomedical optics and intraoperative surgical guidance, with a primary focus on fluorescence lifetime imaging (FLIm) for cancer detection. Her major contributions center on developing label-free, real-time imaging techniques to help surgeons achieve complete tumor resection during head and neck cancer surgeries. Qi pioneered the use of mesoscopic FLIm to demarcate tumor margins, demonstrating its potential in transoral robotic surgery settings. Her most cited work, "Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer" (2023, 17 citations), established a framework for distinguishing cancerous from healthy tissue based on intrinsic tissue fluorophores. She further advanced the field with a data-centric learning framework (2025) for real-time detection of aiming beams in FLIm-guided surgery, improving the accuracy of tissue mapping. Qi's research directly addresses the critical clinical challenge of residual cancer detection in surgical cavities, with her work on in vivo classification during transoral robotic surgery representing a significant step toward integrating optical imaging into standard surgical workflows. Her innovative approach combining machine learning with label-free optical imaging positions her at the forefront of precision surgical oncology.
Research Focus
Key Achievements
Top Papers
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