With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
There are many different types of medical imaging and they all pick up different things.
Nanotechnology isn't science fiction – you can find it in the latest TV screens, solar cells and tennis rackets.
Whether at a family gathering or in a research lab, getting access to images immediately was a game changer. And Land's innovations went far beyond the instant photo.
To improve wait times for surgery, Canada needs to fix its health-care system. Developing a national seniors' strategy would be a good place to start.
Fourier's discoveries can still be felt in modern-day radiology, climate science and physics.
All multiple sclerosis sufferers have stem cells with the potential to heal them, but scientists are only just figuring out how to kick them into action.
X-rays are like light rays, but they can pass through more stuff. Some of the x-ray's energy is blocked by bone, which is why you can see bones so clearly on x-ray scans.
Reducing health-care waste relating to unnecessary tests has been a major priority for researchers, governments and health services for decades. But how do we change the behaviour of doctors?
While Peter Mansfield didn’t have the career as a rocket scientist he craved, his contribution to humanity has been immense.
Pairing more powerful computers with increasingly sensitive scanners can yield many benefits in medicine and other fields.
Big data is about processing large amounts of data. It is often associated with multiplicities of data. But the ability to generate data outpaces the ability to store it.