Papers

2

Total Citations

20

H-Index

2

About

Dr. Kaori Yamada is a pioneering urologic surgeon and researcher at the forefront of integrating artificial intelligence with precision oncology. Her primary research focuses on developing AI-driven diagnostic tools for prostate cancer, particularly through the fusion of multiparametric MR-US imaging data with biopsy trajectory-proven pathology. In her landmark 2022 proof-of-concept study, Dr. Yamada trained a convolutional neural network to predict the three-dimensional volume and location of clinically significant cancer, a breakthrough that has garnered 16 citations and laid the groundwork for more accurate, non-invasive cancer mapping. Beyond AI, she is an expert in complex robotic reconstructive surgery, as demonstrated by her 2021 case report on robot-assisted laparoscopic pyeloplasty for a rare ureteropelvic junction obstruction with ipsilateral retrocaval ureter. This work highlights her technical skill in managing challenging congenital anomalies. Dr. Yamada’s contributions bridge cutting-edge computational methods with hands-on surgical innovation, offering transformative potential for personalized cancer care and minimally invasive urologic surgery. Her research continues to inspire students and clinicians aiming to harness AI for improved patient outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence trained with integration of multiparametric MR‐US imaging data and fusion biopsy trajectory‐proven pathology data for 3D prediction of prostate cancer: A proof‐of‐concept study
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Kyoto Prefectural University of Medicine, Kyoto first Red Cross hospital

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago