Amanda Spilkin
Papers
2
Total Citations
15
H-Index
2
About
Amanda Spilkin is a rising leader in the intersection of robotics, artificial intelligence, and medical imaging, with a primary focus on advancing autonomous cardiac ultrasound systems. Her research centers on developing intelligent control and visual servoing methods to enhance the safety, precision, and automation of robotic cardiac examinations. In her highly cited 2024 work, she introduced a novel AI-powered robust interaction force control method for a cardiac ultrasound robotic system (CURS), utilizing dual control loops and AI-driven image feedback to optimize image quality while ensuring patient safety. Building on this, her 2025 paper presents a robust deep feature ultrasound image-based visual servoing (UIBVS) technique, featuring a custom convolutional neural network (UCF-Net) trained for automatic cardiac examination. Though early in her career, Spilkin’s work has already garnered significant attention, with her top papers accumulating 15 citations within their first year—a strong indicator of impact in this fast-moving field. Her contributions are paving the way for safer, more reliable AI-assisted diagnostic ultrasound, positioning her as a key innovator in robotic medical imaging.
Research Focus
Key Achievements
Top Papers
- 1
- 2