Papers
3
Total Citations
80
H-Index
3
About
Dr. Emily Skelton is a leading researcher at the intersection of robotics and medical imaging, specializing in the development of robotic-assisted ultrasound systems for fetal imaging. Her work directly addresses the limitations of conventional handheld ultrasound probes, aiming to enhance diagnostic reliability and accessibility. Dr. Skelton’s major contribution is the pioneering evolution of these systems from single-arm to dual-arm robotic configurations, a critical advancement that enables more complex and standardized fetal scans. Her highly cited 2019 paper (45 citations) details this foundational shift, while her 2021 work (32 citations) introduces a novel standardized acquisition workflow using a dual-probe robot. This framework is designed to improve the general usability and diagnostic consistency of medical ultrasound, integrating AI to automate and standardize procedures. By tackling the challenge of operator dependency, Dr. Skelton’s research is paving the way for more reliable, remote, and automated prenatal care, promising to make advanced fetal imaging more widely available and less reliant on specialized sonographers.
Research Focus
Key Achievements
Top Papers
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