Norio Fukuda

Nara Institute of Science and Technology

Papers

1

Total Citations

16

H-Index

1

About

Dr. Norio Fukuda is a pioneering researcher at the intersection of artificial intelligence and oncologic imaging, with a primary focus on improving prostate cancer diagnostics. His most impactful work demonstrates a novel approach to predicting clinically significant cancer by training convolutional neural networks on integrated multiparametric MR-US imaging data and fusion biopsy trajectory-proven pathology. In his 2022 proof-of-concept study, Dr. Fukuda developed an AI algorithm capable of three-dimensional prediction of cancer volume and location, representing a significant leap toward more precise, non-invasive cancer mapping. This work, which has garnered 16 citations in a short period, showcases his commitment to translating complex imaging data into actionable clinical tools. By combining advanced machine learning with multi-modal imaging, Dr. Fukuda is helping to reduce the need for invasive biopsies while improving diagnostic accuracy. His research holds promise for personalized treatment planning and is a testament to the growing role of AI in modern medicine.

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: Nara Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago