Hitomi Nagano

Kyoto Prefectural University of Medicine

Papers

1

Total Citations

16

H-Index

1

About

Hitomi Nagano is a pioneering researcher at the intersection of artificial intelligence and oncologic imaging, with a primary focus on improving prostate cancer diagnostics. Her most notable contribution is a proof-of-concept study demonstrating an AI algorithm that integrates multiparametric MR-US imaging data with fusion biopsy trajectory-proven pathology to generate three-dimensional predictions of clinically significant cancer. This work, published in 2022 and garnering 16 citations to date, represents a significant step toward non-invasive, spatially accurate cancer mapping. By training a convolutional neural network on both imaging and biopsy data, Nagano’s approach addresses the critical challenge of precisely localizing aggressive tumors, potentially reducing the need for repeated biopsies and guiding targeted treatments. Her research sits at the forefront of precision medicine, combining deep learning with multimodal imaging to enhance diagnostic confidence. As a relatively early-career researcher, this high-impact study signals her potential to shape future AI-driven tools in radiology and urology, offering a compelling vision for how computational methods can transform cancer care.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
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: 7
🏛 Institutions: Kyoto Prefectural University of Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago