Jia‐Jin Jason Chen

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About

Dr. Jia-Jin Jason Chen is a leading figure in the development of intelligent robotic systems for precision medicine, with a primary focus on ultrasound-guided surgical navigation and human-robot interaction. His major contributions lie in advancing the accuracy and safety of robotic ultrasound systems (RUS) for minimally invasive surgery (MIS). Notably, his 2021 work on an "Improved Sensing Method of a Robotic Ultrasound System for Real-Time Force and Angle Calibration" (13 citations) introduced a novel calibration technique that enhances the precision of robotic arms during ultrasonic examinations, a critical step for telemedicine applications. Building on this, his 2022 study on "Ultrasound Calibration for Dual-Armed Surgical Navigation Systems" (3 citations) proposed a dual-arm framework to minimize spatial coordinate errors between surgical instruments and imaging probes, directly addressing a key bottleneck in MIS navigation. Dr. Chen’s research bridges the gap between clinical ultrasound imaging and robotic automation, enabling safer, more reliable procedures. His work is foundational for next-generation surgical robots, where real-time force feedback and multi-arm coordination are essential. With a growing citation impact, Dr. Chen is recognized for translating complex engineering challenges into practical solutions that advance the frontiers of computer-assisted surgery.