Enrico Bollito

About

Enrico Bollito is a pioneering urologic surgeon whose work sits at the intersection of artificial intelligence, augmented reality, and precision oncology in prostate cancer care. His research focuses on three key areas: improving the diagnostic accuracy of multiparametric MRI and fusion-targeted biopsies, developing three-dimensional augmented-reality guidance for robot-assisted radical prostatectomy, and integrating AI-driven tools to enhance surgical precision. Bollito’s most impactful contributions include demonstrating that hyper-accuracy 3D reconstruction (HA3D™) technology can identify capsular involvement during augmented-reality robot-assisted prostatectomy, with his seminal 2019 paper garnering 125 citations. He has also shown that targeted biopsy significantly improves Gleason score agreement with surgical specimens compared to standard biopsy, a finding supported by multiple studies totaling over 100 citations. His recent work on AI-driven automatic augmented reality for nerve-sparing surgery, published in 2023, represents a leap forward in preserving functional outcomes while ensuring oncologic control. Bollito’s prospective randomized trials, including the RIDERS trial, continue to shape evidence-based practice. With over 400 cumulative citations across his top papers, Bollito stands as a leading voice in the fusion of imaging, artificial intelligence, and robotic surgery for prostate cancer.

Research Focus

Key Achievements

Top Papers

1. 1
   Three-dimensional Elastic Augmented-reality Robot-assisted Radical Prostatectomy Using Hyperaccuracy Three-dimensional Reconstruction Technology: A Step Further in the Identification of Capsular Involvement

   125 citations · 2019
2. 2
   Augmented‐reality robot‐assisted radical prostatectomy using hyper‐accuracy three‐dimensional reconstruction ( <scp>HA</scp> 3D™) technology: a radiological and pathological study

   100 citations · 2018
3. 3
   Multiparametric-Magnetic Resonance/Ultrasound Fusion Targeted Prostate Biopsy Improves Agreement Between Biopsy and Radical Prostatectomy Gleason Score

   49 citations · 2016
4. 4
   Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy: A feasibility and accuracy study

   31 citations · 2023
5. 5
   A prospective randomized controlled trial comparing target prostate biopsy alone approach vs. target plus standard in naïve patients with positive mpMRI

   25 citations · 2023
6. 6
   Risk of Gleason Score 3+4=7 prostate cancer upgrading at radical prostatectomy is significantly reduced by targeted versus standard biopsy

   22 citations · 2020
7. 7
   Indication to pelvic lymph nodes dissection for prostate cancer: the role of multiparametric magnetic resonance imaging when the risk of lymph nodes invasion according to Briganti updated nomogram is &lt;5%

   15 citations · 2018
8. 8
   Comparing Image-guided targeted Biopsies to Radical Prostatectomy Specimens for Accurate Characterization of the Index Tumor in Prostate Cancer

   12 citations · 2018
9. 9
   Multiparametric magnetic resonance imaging and active surveillance: How to better select insignificant prostate cancer?

   11 citations · 2016
10. 10
    Artificial Intelligence 3D Augmented Reality–guided Robotic Prostatectomy Versus Cognitive MRI Intervention: Results of the Prospective Randomized RIDERS Trial

    8 citations · 2025

Key Collaborators

Contact & Links