IEEE IEEE 14th IEEE EMBS-SPS International Summer School on Biomedical Imaging
Saint-Jacut de la Mer, Emerald Coast, Brittany
France, 19-25 June, 2022
Gwenaël Guillard

Gwenaël Guillard

Gwenael is the CEO of Intradys. With 15 years of industrial experience in the medical software industry, Gwenael is passionate about medicine and technology such as artificial intelligence and mixed reality. Holding a PhD (LaTIM INSERM U1101 and IMT Atlantique, France) and a master’s degree in Mathematics (University Rennes 1), Gwenael founded Intradys in 2019 after spending more than 10 years in the UK working for Imorphics and Stryker. Intradys is an innovative company developing a software ecosystem for decision making, planning and guidance during interventional neuroradiology procedures, stroker treatment for example.


The Future of the Angio-Suite – Enabling technologies for the Interventional Radiologists

Gwenaël Guillard
Intradys, France
gwenael@intradys.com

Abstract

Interventional radiology IR uses image guidance (X-ray fluoroscopy, ultrasound, CT or MRI) to perform a wide range of minimally invasive procedures by accessing the body through a very small hole in the body. Interventional radiologists are trained in radiology and interventional therapy. They are expert in diagnostic image interpretation, in the manipulation of needles, and in the use of fine catheter tubes and wires to navigate around the body under imaging control. Well recognised advantages of these minimally invasive techniques include reduced risks, shorter hospital stays, lower costs, greater comfort, quicker convalescence and return to work.

Interventional Radiology (IR) is on the verge of a revolution driven by artificial intelligence, robotics and mixed reality.

  1. AI. Radiology is one of the medical fields where AI has made tremendous progress in the recent years. The list of applications to locate tumours, identify bone fractures, detect brain haemorrhage, etc. is endless. AI applications for interventional radiology are fewer but is gaining ground for tumour treatment, needle placement etc. However, it is a long shot from the ideation of an AI algorithm to its use at the hospital and this lecture will highlight the various challenges faced by the industry
  2. Robototics. Robots are more and more used in surgery. The benefits to patients and healthcare professionals have been established. There is today a drive to develop new robots for interventional radiology and recent development like Corindus have shown that robots will probably be part of tomorrow’s interventional radiologist toolkit.
  3. Mixed reality. MR has started to be used in surgery for a couple of years and it has shown some clear benefits. For interventional radiology, MR will be the perfect medium to bring AI technology for planning and guidance. Furthermore, it is extremely unlikely that robotics will be used remotely without an ecosystem providing the operator with intuitive tools. MR will bridge the gap and allow the robots to be widely used in a remote context.

version 4.6, jun., 2022