AI: From High Energy Physics to Medical Applications"

Artificial Intelligence (AI) is becoming more commonplace in many fields. The team at the University of Liverpool for the ATLAS experiment at the Large Hadron Collider (LHC), have been using such techniques for many years to be applied to High Energy Physics (HEP) data analyses. A local company to the city, AIMES, provides cloud solutions and services for its clients, and has been developing

extensive expertise on data research in the medical field, using AI techniques for healthcare applications.[1] The ATLAS aspect of this PhD involves the commissioning of and improvements to Machine Learning (ML) algorithms used for efficient identification of objects relevant for the analysis, including taulepton

and heavy-flavour jets. These techniques will be then applied in the future Higgs-pair analysis to improve their sensitivity. The AIMES project of this PhD is to evaluate the performance of convolutional neural networks to Magnetic Resonance Imaging (MRI) data. AIMES, in collaboration with Barts Hospital in London, have

access to a large database of MR images and have already developed Fully Convolutional Networks (FCNs) that can analyse them. The project work is to ultimately target the development of a validation methodology for these networks and the reduction of the time needed by physicians to provide consultation to patients.

References [1] University of Liverpool, "Centre for Doctoral Training in Data Intensive Science: Research Projects - Artificial Intelligence and Machine Learning: Project 8": Available from: https://www.liverpool.ac.uk/centre-for-doctoral-training-for-innovation-in-data-intensivescience/ research-projects/artificial-intelligence-and-machine-learning/project-8/ [Accessed on:

28/11/22]