Amir H. Sadeghi
Papers
5
Total Citations
60
H-Index
4
About
Amir H. Sadeghi is an emerging surgical innovator whose research sits at the dynamic intersection of thoracic surgery, augmented reality (AR), and artificial intelligence. Based on his growing body of highly cited work, Sadeghi has established himself as a leading voice in next-generation surgical visualization technologies, with a particular focus on minimally invasive and robotic pulmonary surgery. His most impactful contributions center on developing and evaluating AR-guided systems for lung surgery. His 2024 paper on AI-assisted augmented reality robotic lung surgery — already accumulating 25 citations — demonstrates the feasibility of using AI-driven 3D deformable models for real-time intraoperative guidance, a potentially transformative advance in surgical precision. Complementing this, his systematic review on AR in minimally invasive surgery (19 citations) provides the field with a rigorous analytical framework for understanding registration, tracking, and visualization challenges across deformable organ surgery. Sadeghi has also advanced practical AR workflows for video-assisted thoracoscopic segmentectomy and explored virtual reality simulation for surgical training and planning. His earlier historical overview of oncological lung surgery grounds his technological innovations within a deep understanding of the field's evolution — making his work both contextually rich and forward-looking.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5