Course overview
Attendees can join the hybrid course online via MS Teams or Classroom in London. There will be a combination of live & recorded lectures and interactive sessions.
Surgical and Interventional Engineering (SIE) is an integral part of endeavours to achieve cognitive sensor-guided robotically assisted surgery. 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.
SIE research aims to optimise surgery and intervention for timely, personalised, and cost-effective therapies in the operating theatre of the future.The operating theatre of the future will interconnect 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 thereby delivering AI-based intraoperative decision support and surgical assistance.
This upcoming MedTech domain of cognitive sensor-guided 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, these scientists must be capable of working effectively within an environment that respects and understands the constraints that surgical applications impose.
The 5-day hybrid course includes a series of lectures on the topics of novel instrumentation for optimal surgery, and navigation algorithms for precise interventions. 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 School involves invited lectures from specialists in the domains of surgical and interventional engineering.
What does this course cover?
The Summer School include a series of lectures on the topics of novel instrumentation for optimal surgery, and navigation algorithms for precise interventions.
There are more than 20 lecturers, including Christos Bergeles, Wenfeng Xia, Rachel Sparks, Pietro Valdastri, Simeon West, Claire Heaysman, Valentina Vitiello , Michael Ebner, Hani Marcus, Mohsen Khadem, Ilana Niksy, Ben Gurion, Kaspar Althoefer, Stefanie Speidel, Danial Stoyanov, Alejandro Granados, Tom Vercauteren, Adrien Desjardins, Michael Hughes and Daniel Elson.
Click here to view the course programme
What will I achieve?
Our Summer School 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.
Who will I learn with?
Who is this for?
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).
There are no strict entry requirements, however, as part of the application applicants are asked to include a motivation letter to demonstrate alignment to the School's remit.
What is the teaching schedule?
Details on the training schedule can be found in the course programme document.
Fees and discounts
In person event in London
- Academic/Clinical Participant Individual Course Fee on-site - £400
- Industry Participant Individual Course Fee on-site - £800
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.