Samantha Horton

Papers

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About

Dr. Samantha Horton is a leading researcher in medical robotics and human-machine interaction, with a focus on developing intelligent, semi-autonomous systems for clinical imaging. Her most-cited work, "Robot-Assisted Semi-Autonomous Ultrasound Imaging With Tactile Sensing and Convolutional Neural-Networks" (2020, 18 citations), introduces a groundbreaking approach to automating ultrasound procedures. By integrating force feedback, a PID controller, and a convolutional neural-network (CNN) image classifier, Horton’s system enables a robot to interpret tactile and visual data in real time, guiding its own movements to capture optimal diagnostic images with minimal human input. This innovation directly addresses the challenges of operator variability and physical strain in manual ultrasound, paving the way for more consistent, accessible imaging in remote or resource-limited settings. Her contributions sit at the intersection of robotics, sensor fusion, and deep learning, demonstrating how AI can augment clinical workflows. With a growing citation impact and a clear trajectory toward translational research, Horton is establishing herself as a key voice in the future of autonomous medical assistance.