Papers

3

Total Citations

27

H-Index

3

About

Dr. Masaki Kobayashi is a pioneering urological surgeon whose research centers on improving surgical outcomes for bladder cancer patients, particularly the elderly, through robot-assisted techniques and artificial intelligence. His major contributions include demonstrating the safety and efficacy of robot-assisted radical cystectomy (RARC) in octogenarian patients, as shown in his 2023 nationwide Japanese study (14 citations), which provides critical evidence for expanding surgical options in this vulnerable population. He also analyzed national trends in radical cystectomy approaches, highlighting the growing role of RARC over traditional methods (2022, 8 citations). Most notably, Dr. Kobayashi is at the forefront of AI integration in urological surgery, having developed a convolutional neural network for real-time ureter segmentation during RARC—a pioneering "fluorescence-like navigation" system that enhances surgical precision (2025, 5 citations). His work, leveraging large-scale Japanese databases, not only advances surgical practice but also sets the stage for AI-guided interventions in urology. With a focus on improving patient outcomes through innovation, Dr. Kobayashi’s research is shaping the future of minimally invasive, technology-driven urological care.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Surgical outcomes of robot‐assisted radical cystectomy in octogenarian or older patients: A Japanese nationwide study
14 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Tokyo Medical and Dental University, Institute of Science Tokyo

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago