Mehmet Emin Aksoy
Papers
5
Total Citations
27
H-Index
3
About
Mehmet Emin Aksoy is a pioneering researcher at the intersection of surgical education, cognitive neuroscience, and minimally invasive surgery. His work primarily focuses on understanding how surgeons learn and adapt to advanced surgical technologies, particularly robot-assisted and laparoscopic systems, through the lens of neural activity and cognitive workload measurement. Aksoy's most significant contributions center on applying functional near-infrared spectroscopy (fNIRS) to monitor prefrontal cortex activity during surgical simulation training — a novel methodological approach that bridges neuroscience and surgical pedagogy. His highly cited 2021 study on brain activation during robot-assisted surgery training (16 citations) established foundational insights into skill acquisition processes unique to robotic platforms. Complementary work comparing cognitive demands across laparoscopic and robotic modalities has helped illuminate how surgical technique influences mental workload, with important implications for training program design. Beyond simulation research, Aksoy has explored practical clinical applications, including a notable investigation of the Da Vinci Xi Surgical System for spinal fusion procedures in animal models. Collectively, his body of work — accumulating over 27 citations — provides surgeons, educators, and training program developers with evidence-based frameworks for optimizing surgical skill development and reducing cognitive strain in next-generation operating environments.
Research Focus
Key Achievements
Top Papers
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