Deepthi Hoskoppal
Papers
1
Total Citations
9
H-Index
1
About
Deepthi Hoskoppal is a researcher at the intersection of surgical oncology, advanced imaging, and artificial intelligence. Her primary focus lies in developing and validating real-time intraoperative technologies to improve cancer surgery outcomes, with a particular emphasis on prostate cancer. Her most notable contribution is the pioneering work on integrating Stimulated Raman Histology (SRH) with AI to provide near real-time interpretation of surgical margins during radical prostatectomy. This breakthrough addresses the critical challenge of balancing complete tumor removal with preserving functional outcomes. Her landmark 2025 paper on this topic has already garnered 9 citations, reflecting its immediate impact on the field. By enabling surgeons to assess tissue pathology within minutes—without the need for traditional tissue processing or staining—Hoskoppal’s research is paving the way for more precise, data-driven surgical decisions. Her work represents a significant step toward personalized, real-time pathology guidance in the operating room, with the potential to reduce positive margin rates and improve patient quality of life.
Research Focus
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Top Papers
- 1