AI diagnostic tools are being used by healthcare providers yet demand for skilled human specialists is growing ...

When you stop and think about it, it’s amazing how thoroughly we can examine the inside of the human body with noninvasive techniques. X-rays, MRIs, and CT scans are essential tools in diagnosing ...

With five years of experience as a writer and editor in the higher education and career development space, Ilana has a passion for creating accessible, relevant content that demystifies the higher-ed ...

AI use has exploded in radiology as the field struggles with staffing shortages, exacerbated by growing imaging volumes.

The need for diagnostic imaging services continues to grow at a rate of 3-4% annually, but many medical facilities, especially in rural areas, are struggling to meet this demand. With the U.S.

Radiology has an image problem. Specifically, the visual of a future where artificial intelligence (AI) algorithms have put radiologists out of work. In 2016, machine-learning pioneer Geoffrey Hinton ...

By training vision-language models on large numbers of radiological images and their written radiology reports, the hope is ...

Generative AI is being integrated into radiology to assist with non-clinical tasks, even while clinical applications grow. Radiology's AI adoption contrasts with past predictions of AI replacing ...

A first of its kind study shows typical interruptions experienced by on-call radiologists do not reduce diagnostic accuracy but do change what they look at and increase the amount of time spent on a ...