Amoon Jamzad

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About

Amoon Jamzad is a researcher at the intersection of surgical robotics, biophotonics, and automated tissue analysis. Her work focuses on developing intelligent systems that enhance intraoperative decision-making, particularly through the integration of sensor data and optical imaging. In her highly cited 2022 study, "Sensor-Based Automated Detection of Electrosurgical Cautery States" (6 citations), Jamzad pioneered a method to automatically detect and classify electrosurgical energy events by tracking tool location with a navigation system. This innovation allows for the real-time mapping of sensor-classified tissues, reducing human error during surgery. Earlier, in her 2020 work on "Robotic tissue scanning with biophotonic probe" (2 citations), she advanced the use of Raman spectroscopy for molecular tissue characterization, aiming to enable fast, automated, and accurate intraoperative classification. These contributions are critical for the future of autonomous surgical systems, where precise tissue identification can improve patient outcomes. Jamzad’s research demonstrates a clear trajectory toward minimizing manual intervention in surgery, leveraging robotics and spectroscopy to create safer, more efficient operating room environments. Her work is foundational for students and researchers interested in the convergence of machine learning, optical imaging, and surgical automation.