Working closely with early-phase companies such as Moon Surgical is core to our mission at King’s College London to bring at pace healthcare engineering innovations into the clinic. I am very excited by this new partnership, which will bring our machine learning expertise in surgery into the pioneering Maestro platform.
Professor Seb Ourselin, Head of School, School of Biomedical Engineering & Imaging Sciences
23 March 2021
New Partnership to Develop Machine Learning for Computer-Assisted Surgery
King’s College London’s pioneering research in artificial intelligence & data analytics will strengthen Moon Surgical’s innovative Maestro platform
King’s College London, School of Biomedical Engineering & Imaging Sciences and Moon Surgical today announce a new strategic partnership to develop Machine Learning applications for Computer-Assisted Surgery, which aims to strengthen surgical artificial intelligence (AI), data and analytics, and accelerate translation from King’s College London research into clinical usage.
King’s College London has pioneered research in machine learning in order to provide new capabilities and solutions for surgery through interventional imaging computing.
From King’s, the collaboration will be led by Tom Vercauteren, Professor of Interventional Image Computing, who is also part of the new Department of Surgical & Interventional Engineering.
Researchers from both teams will work together to build, annotate and leverage surgical datasets in order to develop robotic surgeon-enhancing features for Moon Surgical’s Maestro platform.
“Our approach senses, in real-time, an augmented surgeon at the patient’s side, giving us a never before-explored opportunity of gathering the actual movements and intentions of the surgeon in unique datasets,” said Anne Osdoit, Chief Executive Officer of Moon Surgical.
“We are very excited to be working with world-renowned surgical and interventional researchers from King’s College London to explore how new concepts in machine learning can yield increased safety, efficiency, transparency and ease of use of our Maestro platform.”
Professor Seb Ourselin, Head of the School of Biomedical Engineering & Imaging Sciences, said this collaboration is a great step towards the continuous development of surgical and interventional engineering, a key strategic research area of the School.
Professor Vercauteren said: “Our team has a vision for the delivery of consistent, data-driven surgical procedures. With our powerful setup, perfectly integrated into clinical care, we will be able to streamline algorithms from the computational stage to the operating room. We look forward to applying our framework with Moon Surgical so that our digital technologies enable enhanced surgery in an accessible, safe and transformative manner.”
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Professor of Interventional Image Computing
Professor of Healthcare Engineering