AI/ML Assisted Medical Imaging Diagnostics. Talk by Karen Knapp, Professor of Musculoskeletal Imaging in the Department of Health and Care Professions at the University of Exeter.
Artificial intelligence refers to computer science methods that can reason, learn or act in a way which would normally require human intelligence. Artificial intelligence generally requires the use of large datasets to train computer algorithms and there are a variety of different methods that can be used. Recent advances in the structure of these algorithms means that artificial intelligence for use in medical imaging is more powerful and accurate than ever before. As such, this means that we will increasingly see the use of artificial intelligence in our hospitals and it’s likely that over the next decade this will become a routine contributor to diagnostics for some patient groups.
This presentation will cover an overview of how artificial intelligence is used in medical imaging now, along with the potential for the future. Examples of some of the artificial intelligence tools, which are currently on the market will be included. Descriptions of some of the methods for training artificial intelligence and how this requires multi-disciplinary teams will be explored.
However, artificial intelligence cannot just be deployed into our hospitals without rigorous testing and methods for evaluating this technology will be included in this presentation. Finally, there will be consideration of how AI might change experiences for both patients and the staff working within the NHS in the future.
Professor Karen Knapp is a Professor of Musculoskeletal Imaging in the Department of Health and Care Professions at the University of Exeter. Karen is a Diagnostic Radiographer who has worked clinically across a range of areas including general X-ray, Nuclear Medicine and dual energy X-ray absorptiometry scanning. Karen has spent over 20 years undertaking research into osteoporosis and new healthcare technologies including artificial intelligence. Over the last decade Karen has been involved in developing and evaluating artificial intelligence tools in medical imaging.