Yansheng Kan
Papers
1
Total Citations
5
H-Index
1
About
Yansheng Kan is a researcher whose work sits at the critical intersection of urological oncology and computational medicine, with a primary focus on improving the diagnostic accuracy and treatment planning for prostate cancer. His most significant contribution is the development and validation of a machine learning-based predictive model for pathological upgrade following prostate biopsy. In his landmark 2022 multicenter retrospective study, Kan demonstrated that combining systematic and MRI-targeted biopsy features within a machine learning framework could effectively predict which patients would experience a pathological upgrade from biopsy to final surgical pathology. This work, which has garnered 5 citations, addresses a persistent clinical challenge: the discordance between biopsy results and final pathology, which often leads to under- or over-treatment. By leveraging advanced analytics on targeted biopsy features, Kan’s model offers a more personalized risk stratification tool, potentially sparing patients unnecessary radical treatment while ensuring aggressive cancers are not missed. His research represents a meaningful step toward integrating artificial intelligence into the urological workflow, aiming to refine clinical decision-making and improve patient outcomes in prostate cancer management.
Research Focus
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Top Papers
- 1