About

Daniele Amparore is a pioneering urological surgeon and researcher whose work has fundamentally advanced the integration of cutting-edge technology into robotic and minimally invasive urological surgery. Based in Europe, Amparore has built a distinguished research portfolio centered on robot-assisted partial nephrectomy, radical prostatectomy, and the transformative application of augmented reality and three-dimensional reconstruction in surgical guidance. His most celebrated contributions involve the development and clinical validation of hyperaccuracy three-dimensional (HA3D) reconstruction technology, enabling surgeons to navigate complex renal and prostatic tumors with unprecedented precision—work that has collectively amassed hundreds of citations. His 2019 study on augmented-reality robot-assisted partial nephrectomy for complex tumors (188 citations) represents a landmark achievement, demonstrating that 3D imaging could surpass traditional ultrasound guidance in surgical accuracy. Amparore has also contributed meaningfully to surgical education, exploring how 3D-printed models enhance both urologist training and patient understanding, and examining how crises like COVID-19 disrupted residents' learning curves. His 2021 paper on artificial intelligence in prostate cancer management (157 citations) signals his forward-looking engagement with machine learning's clinical potential. Across more than 1,500 cumulative citations, Amparore's body of work reflects a career dedicated to precision, innovation, and improving patient outcomes.

Research Focus

Key Achievements

38
H-Index
129
Papers
4,028
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Perioperative Outcomes of Robotic and Laparoscopic Simple Prostatectomy: A European–American Multi-institutional Analysis
197 citations · 2014
📈 Most Prolific Year: 2023 (24 Papers)
🤝 Key Collaborators: 575
🏛 Institutions: Ospedale San Luigi Gonzaga, University of Turin, European Association of Urology, Onze Lieve Vrouwziekenhuis Hospital, Candiolo Cancer Institute

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 · 0 days ago