SIE encompasses interventional planning making use of AI and computational modelling, and the development of miniature surgical tools and imaging instrumentation for safe and effective navigation and manipulation of tissue. SIE also interconnects classical medical imaging and navigation technology with novel molecular-level imaging sensors and dexterous actuators on a high-speed network bus to leverage interoperability, off-site computational capabilities, and BigData streams to deliver AI-based intraoperative decision support and surgical assistance.

SIE surgery requires multi-disciplinary collaboration between hardware engineers, software engineers, and clinical scientists that understand the intricacies of the instruments and navigation technology that interlink within an operating theatre network. Further, to enable downstream translation of the research into the clinical, scientists must be capable of working effectively within an environment that respects and understands the regulatory and health and safety constraints that surgical applications impose.

The 5-day hybrid course includes a series of lectures on the topics of novel instrumentation for optimal surgery, navigation algorithms for precise interventions, and the regulatory and commercial aspects to bring these technologies to the clinic. It further includes hands-on projects with advanced surgical instrumentation setups, such as: KUKA LBR Med R700 manipulator for laparoscopic interventions Medtronic Stealth station for neurosurgical interventions Leica Proveo 8 and Enfocus OCT for ophthalmic interventions LED-based photoacoustic and US imaging for surgical guidance Hyper-spectral imaging for tumour resection guidance.

The course involves invited lectures from specialists across the domains of surgical and interventional engineering. We will also host a social networking event at LIHE for participants to engage with Start-ups and Spin-outs in residence, as well as a social dinner at a nearby restaurant (included with in-person fees).

For the first time, the course will be delivered jointly in our Surgical & Interventional Engineering Laboratories at the Waterloo King’s College London Campus and the London Institute for Healthcare Engineering (LIHE). Attendees can join the hybrid course in-person or online via MS Teams. There will be a combination of live lectures and interactive hands-on practical sessions (in person attendees only).

Course content

The course includes a series of lectures on the topics of novel instrumentation for optimal surgery, and navigation algorithms for precise interventions.

Our speakers will include Prof. Sebastien Ourselin, Dr. Rachel Clough, Dr. Michael Ebner, Prof. Daniel Elson, Dr. Clare Heaysman, Dr. Anna Barnes, Prof. Jo Hajnal, Prof. Prokar Dasgupta, Dr. Rachel Sparks, Prof. Tom Vercauteren, Dr. Sophia Bano, Dr. Erwin Alles, and Dr. Wenfeng Xia.

All in-person participants will be able to select a group project on a topic of their choice to gain hands-on experience working on a project related to an SIE topic. This year we will include topics such as: autonomous tracking of an abdominal phantom and trocar points using computer vision and a robotic manipulator, real-time vasculature and tool segmentation in a phantom eye, semi-autonomous illumination in vitreoretinal surgery, feature extraction and visualization techniques in vestibular schwannoma and surgical data science for surgical team dynamics.

Learning outcomes

The course will educate post-graduate research (PGR) students and research professionals on both technical and clinical advances in Surgical and Interventional Engineering.

It will allow participants to interact with scientists from the international community and to engage with world renowned experts in a diverse range of topics on Instrumentation Technologies for Personalised Treatments, and Navigation Technologies for Precision Medicine.

This course is for post-graduate students, and research professionals from academia and industry working on the domain of Surgical and Interventional Engineering and aligned domains (e.g. Medical Imaging, Computer-Assisted Interventions, Instrumentation and Robotics).

In person event in London

• Industry Participant Individual Course Fee - On-Site - £1200
• Academic/Clinical Participant Individual Course Fee - On-Site - £400

Online event - seminars only

• Individual Course Fee - Online - £150

Payments must be made by credit or debit card. Invoices are not available as method of payment.