Xiaoqi Ren

Peng Cheng Laboratory, Southern Medical University

Papers

Total Citations

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About

Xiaoqi Ren is pioneering the frontier of autonomous medical robotics, with a primary focus on developing intelligent systems for diagnostic imaging. Her most significant contribution is the creation of a fully autonomous robotic ultrasound system for thyroid scanning, a breakthrough that addresses the critical dependency on sonographer expertise and the physical and cognitive strain of manual procedures. This system, detailed in her 2024 paper which has already garnered 57 citations, demonstrates the ability to independently navigate and scan the thyroid region, promising to standardize and democratize access to high-quality ultrasound diagnostics. By automating a traditionally skill-intensive task, Ren’s work reduces operator fatigue and variability, potentially transforming clinical workflows. Her research, which builds on an earlier 2023 iteration, showcases a clear trajectory toward practical, deployable robotic solutions in healthcare. With her innovative integration of robotics and medical imaging, Xiaoqi Ren is not only advancing autonomous systems but also setting a new standard for efficiency and accessibility in non-invasive diagnostics, marking her as a rising leader in the field of medical robotics.