Max Robotics — Global Service Robot Directory + US Certification

About

Jannis Hagenah is pioneering the integration of robotics and medical imaging, with a primary focus on robotic ultrasound systems. His most impactful work, "Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends" (2021), has garnered 132 citations, establishing him as a leading voice in this rapidly evolving field. In this comprehensive review, Hagenah categorizes emerging robotic ultrasound systems by their level of robot autonomy (LORA), providing a crucial framework for understanding the trajectory of automated diagnostic imaging. Beyond reviews, Hagenah has made tangible contributions to clinical applications. His 2020 phantom study on robotized ultrasound imaging of peripheral arteries addresses a critical need in diagnosing peripheral arterial disease (PAD)—a condition where traditional ultrasound is highly operator-dependent. By developing autonomous systems that reduce reliance on skilled sonographers, his work promises to democratize access to reliable vascular imaging. Hagenah also advances the technical foundations of medical robotics. His research on using deep neural networks to improve contact wrench estimation in robotic manipulators (2022) tackles the fundamental challenge of precise force sensing without expensive hardware. Most recently, his 2024 work explores holistic workflow optimization in operating theaters, examining optimal robotic system placements to enhance collaboration and safety in complex surgical environments. Through this diverse portfolio, Hagenah is shaping a future where robots seamlessly assist in diagnosis and surgery.