Specific Examples of AI Applications in Radiology

Worldwide, the capacity of health systems is being strangled, by the complex healthcare needs of ageing populations, and the rise in chronic diseases more generally. Radiology departments in particular, are simply unable to meet a massive and rising demand and patients are facing ever longer delays in treatment. Much has been made about the ability of AI systems to interpret medical images as well or better than human radiologists. But are we really moving towards a future in which AI systems have transformed radiology to the point where they are independently processing scans quickly, accurately and en masse? If that transformation is underway, what will be the impact, good and bad? With Fabian Schoeck, Head of Global Product Management for AI Products at Siemens Healthineers.