Mark Hitchman, managing director of Canon Medical Systems UK, highlights the exciting AI innovations in diagnostic imaging and discusses the need for home-grown data to power advancements in the future.
Artificial Intelligence (AI) in healthcare is big news. Nearly every day there is a new study or research result announced, powering the potential advances in how we diagnose, treat and prevent healthcare conditions in the future. It stirs the imagination and is an exciting exploration to be part of, but it also has to be a manageable process, realistic and scalable.
With every positive news story on the advances of AI in healthcare, there is also the counterbalance that questions when we will realistically be able to use these advancements in clinical practice. Our response is that AI is already here, being used in many hospitals and clinics up and down the UK, perhaps without the radiographers even realising as it works seamlessly behind the scenes.
There is no plan to shock and awe the healthcare community, it has been through enough in the last few years, so our approach is to calmly and carefully introduce the advancements embedded within our imaging systems and visualisation software via familiar user interfaces and training plans. Diagnostic imaging evolution is happening every day and it is making a difference to clinical confidence and workflow efficiency.
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