Papers

23

Total Citations

651

H-Index

12

About

Dr. Giuseppe Lucarelli is a leading urologic surgeon and researcher whose work sits at the intersection of robotic surgery, artificial intelligence, and oncology. His research focuses on advancing the treatment of urologic cancers—particularly prostate and renal cell carcinoma—through minimally invasive techniques and cutting-edge technology. Dr. Lucarelli has made major contributions to the field by systematically evaluating and comparing outcomes of robot-assisted surgeries, such as radical prostatectomy and partial nephrectomy, against traditional laparoscopic and percutaneous approaches. His work has been instrumental in expanding the indications for robot-assisted partial nephrectomy to include complex renal masses, such as large tumors and solitary kidneys, demonstrating its safety and efficacy. With over 157 citations for his work on AI and machine learning in prostate cancer management, his impact is substantial. He has also pioneered the use of deep learning for image processing in robot-assisted surgery, helping to pave the way for smarter, more precise surgical systems. Beyond technical innovation, Dr. Lucarelli has addressed critical clinical issues, such as complications from surgical clips, and has even explored how the COVID-19 pandemic could reshape urology residency training. His comprehensive systematic reviews and multicenter studies have earned him a reputation as a rigorous, forward-thinking investigator shaping the future of urologic oncology.

Research Focus

Key Achievements

12
H-Index
23
Papers
651
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives
157 citations · 2021
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 206
🏛 Institutions: University of Bari Aldo Moro, University of Foggia, Istituto Tumori Bari

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago