Papers
18
Total Citations
133
H-Index
6
About
Nadim Al Hajjar is a pioneering researcher at the intersection of medical robotics, artificial intelligence, and minimally invasive oncologic surgery. His work centers on developing safer, more precise robotic systems for treating non-resectable liver tumors and performing single-incision laparoscopic surgery (SILS). Al Hajjar’s major contributions include integrating real-time image fusion and virtual reality into robotic control systems, and applying AI-based hazard detection to enhance intraoperative safety. His 2019 paper on risk management for robotic-assisted liver tumor treatment (33 citations) established a foundational framework for reliability in this challenging domain. He has also advanced parallel robot design for SILS applications in urology and pancreatic surgery, using genetic algorithms for design optimization. With over 110 total citations, Al Hajjar’s research emphasizes risk assessment-oriented design and safety validation—critical for translating robotic systems from lab to clinic. His work on robot-guided ultrasonography and real-time image fusion directly addresses the pressing need for improved visualization and accuracy in cancer surgery. Through interdisciplinary collaboration with medical experts, Al Hajjar is shaping the next generation of intelligent, minimally invasive surgical tools that promise to improve outcomes for patients with hepatic, pancreatic, and renal malignancies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Robot-Guided Ultrasonography in Surgical Interventions4 citations · 2023
- 10