Adrian Pranata
Papers
2
Total Citations
20
H-Index
2
About
Adrian Pranata is a researcher at the forefront of medical robotics, specializing in the automation of non-invasive diagnostic imaging. His primary research areas include autonomous robotic ultrasonography, sensor fusion, and human-robot interaction for medical applications. Pranata’s major contribution is advancing the field of autonomous ultrasound imaging to reduce reliance on highly skilled sonographers and mitigate work-related musculoskeletal disorders. His highly cited 2022 systematic literature review, "Robotic Ultrasonography for Autonomous Non-Invasive Diagnosis," synthesized evidence from 18 studies, establishing a foundational framework for the field and garnering 18 citations. More recently, his 2024 work, "A sensor fusion approach to autonomous ultrasound imaging of the lumbar region," introduces a novel method combining multiple sensors to enable robots to autonomously navigate and image the lumbar spine. This work, already attracting early citations, demonstrates a practical step toward clinical deployment. Pranata’s research promises to democratize access to ultrasound diagnostics, reduce operator injury, and improve imaging consistency, positioning him as a key innovator in the next generation of medical robotics.
Research Focus
Key Achievements
Top Papers
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- 2