Davide Doria

University of Pisa

Papers

2

Total Citations

28

H-Index

2

About

Davide Doria is a researcher advancing the frontiers of robot-assisted minimally invasive surgery (RMIS), with a particular focus on haptic feedback and tactile sensing for gynecologic applications. His work addresses a critical gap in surgical robotics: the loss of touch sensation during teleoperation. Doria’s most-cited paper (2021, 19 citations) introduces a novel method for enhancing the localization of uterine leiomyomas through cutaneous softness rendering, enabling surgeons to palpate and identify hidden lumps during robotic procedures. This contribution tackles the longstanding challenge of integrating transparent, intuitive tactile feedback into the surgical console. In his earlier proof-of-concept study (2019, 9 citations), Doria demonstrated wearable haptic interfaces for gynecologic robotic surgery, specifically for robotic myomectomy. By developing systems that restore the sense of touch, his research has the potential to improve surgical precision, reduce tissue damage, and enhance patient outcomes. Doria’s work is notable for its direct clinical relevance, bridging the gap between engineering innovation and practical surgical needs, and positioning him as a key contributor to the future of haptic-enabled robotic surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing the Localization of Uterine Leiomyomas Through Cutaneous Softness Rendering for Robot-Assisted Surgical Palpation Applications
19 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Pisa

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago