Computer Vision News - November 2022

43 Medical Computer Vision use computer models/simulations to conceive, develop and assess devices with the intended clinical outcome explicitly optimised from the outset (a-priori) instead of tested on humans (a-posteriori). This includes testing for potential risks to patients (side effects) exhaustively exploring in-silico for medical device failure The workshop started with a fascinating invited talk by Yonina Eldar , Professor at the Weizmann Institute. In her talk she demonstrated how current advances in deep-learning methods can benefit from combining model-based approaches leveraging classical approaches and prior physical models. Some examples she gave included the recoveryofUltrasound images from sub-nyquist sampled data, super- resolution ultrasound and tomographic imaging. Alex Frangi , professor at the University of Leeds, gave an excellent invited talk about Precision Imaging for next Generation Regulation of Medical Products. He introduced the concept of In-silico clinical trials (ISCT) which are computer- based medical device trials performed on populations of virtual patients. ISCT T OF CCV