Braden Millan

McMaster University, National Cancer Institute

Papers

2

Total Citations

4

H-Index

1

About

Braden Millan is an emerging surgical researcher with a focused expertise in robotic-assisted urological oncology, particularly radical cystectomy and prostatectomy. His work addresses some of the most pressing practical challenges facing urological surgeons today: how to optimize patient outcomes while managing the technical and institutional barriers to adopting minimally invasive surgical approaches. Millan's 2023 investigation into minimizing the learning curve for robotic-assisted radical cystectomy (RARC) tackles a critical barrier to widespread adoption in Canada, where few centers have embraced this approach despite evidence of its non-inferiority to open surgery. By examining strategies to reduce operative time and accelerate surgeon proficiency, his research has direct implications for expanding patient access to less invasive cancer care. His subsequent 2025 study on posterior reconstruction during robot-assisted radical prostatectomy further demonstrates his commitment to refining surgical technique, comparing anastomosis approaches to improve both early and long-term urinary continence outcomes — a quality-of-life concern central to prostate cancer survivorship. Though early in his publishing career with an emerging citation profile, Millan's research addresses clinically meaningful questions with broad relevance to urological surgery training, technique standardization, and patient recovery — positioning him as a promising contributor to the field of robotic urological oncology.

Research Focus

Key Achievements

1
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Minimizing the learning curve for robotic-assisted radical cystectomy
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: McMaster University, National Cancer Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago