Eugenio Alladio

About

Eugenio Alladio is a leading researcher in urologic oncology and artificial intelligence, whose work is transforming the surgical management of prostate cancer. His primary research areas include robotic surgery, machine learning, and clinical outcomes prediction. Dr. Alladio’s major contributions center on the development of AI-driven tools to enhance surgical precision and patient recovery. He spearheaded the creation of the Bleeding Artificial Intelligence Detector (BLAIR) system, a CNN-based platform that predicts intraoperative bleeding during robotic radical prostatectomy, and a machine learning algorithm to forecast post-surgical incontinence—both cited over 25 times. These innovations promise to personalize rehabilitation and improve surgical safety. Notably, he also led a pivotal randomized controlled trial comparing target versus standard prostate biopsy in MRI-positive patients, and published landmark ten-year functional and oncological outcomes from a trial of laparoscopic versus robot-assisted prostatectomy, each garnering significant attention. With over 70 citations across his most impactful works, Alladio is a pioneer at the intersection of data science and surgery, advancing evidence-based, patient-centered care in urology.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of Bleeding Artificial Intelligence Detector (BLAIR) System for Robotic Radical Prostatectomy

   25 citations · 2023
2. 2
   A prospective randomized controlled trial comparing target prostate biopsy alone approach vs. target plus standard in naïve patients with positive mpMRI

   25 citations · 2023
3. 3
   Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy

   12 citations · 2024
4. 4
   Ten‐year functional and oncological outcomes of a prospective randomized controlled trial comparing laparoscopic versus robot‐assisted radical prostatectomy

   11 citations · 2024

Key Collaborators

Contact & Links