About

Armando Stabile is a urological surgeon and researcher whose work sits at the intersection of robotic surgery, oncology, and advanced imaging in urological cancers, particularly prostate and bladder cancer. His research has meaningfully advanced understanding of robot-assisted radical prostatectomy (RARP), including a widely cited 2019 learning curve study (96 citations) demonstrating how surgical experience directly influences oncologic outcomes such as surgical margins and biochemical recurrence. Stabile has also pioneered the application of PSMA radioguided surgery for intraoperative nodal staging in prostate cancer, with a landmark 2022 phase II study (94 citations) establishing its potential as a complement to extended pelvic lymph node dissection. His contributions extend to prostate cancer diagnostics, comparing micro-ultrasound and MRI fusion biopsy techniques (52 citations), and to patient quality-of-life outcomes, including orgasmic dysfunction following radical prostatectomy (48 citations). In bladder cancer, he has contributed comparative analyses of open versus robotic cystectomy with long-term follow-up data. Notably, he also participated in AI-driven surgical action detection research, reflecting a forward-looking interest in autonomous robotic systems. Collectively, his work—spanning hundreds of citations—has helped shape modern minimally invasive urological oncology practice.

Research Focus

Key Achievements

9
H-Index
28
Papers
472
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
The Impact of Experience on the Risk of Surgical Margins and Biochemical Recurrence after Robot-Assisted Radical Prostatectomy: A Learning Curve Study
96 citations · 2019
📈 Most Prolific Year: 2025 (7 Papers)
🤝 Key Collaborators: 203
🏛 Institutions: IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Institute Mutualiste Montsouris, San Raffaele University of Rome, Istituti di Ricovero e Cura a Carattere Scientifico, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago