Papers
2
Total Citations
5
H-Index
2
About
Behdad Dashtbozorg is a biomedical engineer and researcher at the forefront of integrating optical spectroscopy and artificial intelligence into surgical oncology. His work centers on two critical challenges in prostate cancer surgery: intraoperative margin assessment and AI-driven surgical planning. Dashtbozorg’s pioneering study on diffuse reflectance spectroscopy (DRS) for real-time margin detection during robot-assisted radical prostatectomy (RARP) addresses the persistent problem of positive surgical margins, which occur in up to 32% of cases. By demonstrating that DRS can differentiate tissue types based on optical properties, his research offers a potential pathway to immediate, non-invasive feedback during surgery, reducing the need for secondary procedures. In parallel, his work on AI-driven segmentation of prostate MRI aims to automate the creation of 3D surgical models, replacing labor-intensive manual radiologist segmentation. This innovation promises to streamline preoperative planning and improve surgical outcomes. With over 5 citations across his most-cited papers, Dashtbozorg’s contributions are shaping the next generation of precision surgery, blending real-time biophotonic sensing with machine learning to enhance both the accuracy and efficiency of prostate cancer treatment.
Research Focus
Key Achievements
Top Papers
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