Papers

11

Total Citations

83

H-Index

5

About

Yoshinobu Sato is a multidisciplinary researcher whose career spans several decades and encompasses three distinct but interconnected fields: human-robot safety systems, computer-assisted surgical navigation, and medical artificial intelligence. Beginning in the mid-1980s, Sato made foundational contributions to industrial robotics safety, developing the influential Action-Chain Model framework for hazard identification and control in human-robot systems — a body of work that established systematic methodologies still referenced in safety engineering literature today. His four-part series on human-robot safety assessment, along with his 1990 action-chain design methodology (14 citations), laid rigorous analytical groundwork for evaluating accident-causing mechanisms in automated manufacturing environments. Transitioning into medical technology, Sato contributed to surgical navigation through 2D-3D image registration techniques and augmented reality applications in urological surgery. His 2009 work on statistical atlas-based automated planning for total hip arthroplasty (12 citations) demonstrated sophisticated expertise modeling for orthopedic procedures. Most recently, his 2022 proof-of-concept study (16 citations) — his most-cited work — showcased AI-driven, multiparametric MRI-ultrasound fusion analysis for three-dimensional prostate cancer prediction, reflecting a compelling evolution toward clinically impactful machine learning applications. Sato's career exemplifies rare intellectual versatility, bridging mechanical engineering safety science and cutting-edge medical imaging technology.

Research Focus

Key Achievements

5
H-Index
11
Papers
83
Total Citations
8
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: 1986 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Nara Institute of Science and Technology, The University of Osaka

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago