Maryam Mirzaei
Papers
1
Total Citations
17
H-Index
1
About
Maryam Mirzaei is a pioneering researcher at the intersection of surgical robotics and artificial intelligence, with a primary focus on integrating multi-modal large language models (LLMs) into autonomous surgical systems. Her most cited work, "From Decision to Action in Surgical Autonomy: Multi-Modal Large Language Models for Robot-Assisted Blood Suction" (2025, 17 citations), addresses a critical gap in the field by enabling LLMs to perform complex reasoning and decision-making for delicate surgical tasks like blood suction. This contribution is notable for bridging the divide between general robotics AI and the high-stakes demands of surgery, where precision and contextual understanding are paramount. Mirzaei’s research advances surgical autonomy by translating high-level instructions into actionable robotic movements, potentially reducing human error and improving patient outcomes. Her work has quickly gained traction, as evidenced by its early citations, signaling its impact on both the robotics and medical communities. By tackling the challenge of integrating LLMs into specialized surgical workflows, Mirzaei is shaping the future of robot-assisted surgery, making her a rising leader in this interdisciplinary domain.
Research Focus
Key Achievements
Top Papers
- 1