Papers

7

Total Citations

37

H-Index

4

About

Filippo Lococo is a pioneering thoracic surgeon whose research sits at the intersection of robotic surgery and artificial intelligence. His work has fundamentally reshaped how surgeons approach complex chest procedures, particularly thymectomy for thymoma and myasthenia gravis. Through a landmark seven-year study on the learning curve of robot-assisted thymectomy (10 citations), Lococo provided the first systematic roadmap for surgeons adopting this minimally invasive approach, establishing benchmarks for proficiency and patient safety. His contributions extend to the operating theater itself, where he performed the first experimental robotic pulmonary lobectomy using the innovative TELELAP/ALFX system in an ovine model (9 citations), demonstrating the feasibility of telesurgical lung resection with tactile feedback. Lococo is also at the forefront of integrating artificial intelligence into thoracic surgery, authoring visionary pieces that frame AI as a transformative tool akin to a "magic lamp" for lung cancer management. His multicenter work on robotic thymectomy for large thymomas (4 citations) further solidifies his reputation as a surgeon who tackles the most technically demanding cases. With a growing citation footprint and a clear trajectory toward AI-driven, robotically-assisted precision, Lococo is defining the future of thoracic oncology.

Research Focus

Key Achievements

4
H-Index
7
Papers
37
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curve of Robot-Assisted Thymectomy: Single Surgeon's 7-Year Experience
10 citations · 2022
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Università Cattolica del Sacro Cuore, Ospedale Santa Maria

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago