Tag: Radiology

The Bionic Radiologist: can artificial intelligence enhance human detection of bone disease?

artificial intelligence bone disease

Originally published on the NIHR Blog and reproduced here with permission, Professor Andrea Rockall, Clinical Chair of Radiology at Imperial, provides an insight into whether AI can enhance human detection of bone disease.


Myeloma is a disease that affects the skeleton and can be difficult to pick up at an early stage because symptoms are often quite vague. People who suffer from myeloma may be generally more tired than usual due to anaemia and may have aching bones. As the disease progresses, thinning of the bones may result in fractures, particularly of the spine, and this may be the first time that the diagnosis is picked up. The kidneys may also be affected due to an increase in myeloma proteins circulating in the bloodstream getting caught up in the delicate kidney tubules that filter the blood. If the disease is picked up early, some of these problems can be prevented. (more…)

How machine learning will transform the way we look at medical images

Machine learning

Dr Tim Hoogenboom, a Research Sonographer, looks at the promise and perils of machine learning in medical imaging.

Medical imaging is key in today’s delivery of modern healthcare, with an immense 41 million imaging tests taking place in England in every year. Thousands upon thousands of patients safely undergo imaging procedures such as X-ray, ultrasound, and MRI every day, and the product of these tests – the images – play an essential role in informing the decisions of medical professionals and patients in nearly every area of disease. (more…)