AI tools have been developed to read mammograms as part of the national breast screening programme.
Senior radiologists Professor Fiona Gilbert and Professor Helen Taylor will discuss the problems facing the breast screening programme, the impact of Covid, and whether AI could eventually replace the radiologists.
This conversation between two clinical imaging academics will reveal the issues surrounding using artificial intelligence in clinical imaging. What are the ethical questions surrounding an AI tool being to make clinical decisions as to whether or not a cancer is present on the image? What safety margins should the public demand? AI is also being developed for Chest x-rays and this was fast tracked during Covid to try to predict the outcomes for individual patients admitted to the emergency department with symptoms of Covid. AI tools are also being tested in stroke patients to read the brain scan in attempt to allow an earlier diagnosis of stroke to get patients to a thrombectomy suite within the magic few hours where a clot could be rapidly removed to avoid brain damage.
PROFESSOR FIONA GILBERT is Head of the Department of Radiology at the University of Cambridge. Her clinical work and research are focused on imaging techniques relating to breast cancer and oncology, particularly in her work with the Cambridge Breast Unit, which delivers screening to Cambridge and Huntingdon. She evaluates new imaging technology and is currently working on Artificial Intelligence in Imaging.
PROFESSOR HELEN TAYLOR is a Consultant Radiologist at Addenbrookes specialising in Breast Cancer and cancer imaging and a Fellow of Newnham. She trained in Oxford and London, before becoming a consultant in Cambridge about 25 years ago. Throughout her career she has taught medical students, and for the past decade she has been a University Clinical Anatomist.