Education & Training

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Artificial intelligence in radiology: Friend, not foe, say experts concerned about student perceptions of AI

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.

AI and entertainment are changing primary education. Can radiologist training be far behind?

If you want to know how radiologists will learn their jobs 10 to 20 years from now, take a look at the ways schoolkids learn their subjects in the 2022-23 school year.  

‘I learned to say radiologist when I was no more than 5’

In a book written for popular audiences, a board-certified pediatrician and radiologist’s daughter describes her lifelong affinity for radiology as perhaps only she could.

Fraud, bias, iffy authorship ‘non-negligible practices’ in nuke med research

Nuclear radiologists are overall confident in the scientific soundness of studies published within their field. Those working in Asia are especially trusting. However ... 

The rise and fall of race-based radiation dosing: 4 lessons

Thanks to public outcry and legislative action in 1968, Black patients have not routinely received higher-dose X-rays than their fair-skinned peers for more than half a century.

bone and soft tissue tumors

Radiologists' understanding of tumor 'mimics' vital when assessing bone and soft tissue lesions

Authors of the new EJR paper explained that, although most of these tumors present in a similar way—with a lump or localized pain—their origins are wide-ranging and require the use of additional imaging to characterize the lesion. 

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Internal symposium for breast imaging technologists is a hit among attendees

Of those who completed post-symposium surveys, 100% agreed that they would recommend the event to others who are looking to expand their knowledge of breast imaging.

Concerns about the future of AI are deterring students from pursuing radiology, survey shows

According to the new data, students believe that emerging technologies, including artificial intelligence, could eventually render some specialties obsolete.