Education & Training

Written PDAs a quick, easy way to ‘enhance IR patients’ sense of empowerment’

Interventional radiology patients who receive this type of patient decision aid for consent purposes tend to feel more heard and better informed.

Go-anywhere imaging devices dispatched to Kenya

Butterfly Network has sent 500 of its iQ+ handheld ultrasound devices to Kenya as part of a charitable effort to improve outcomes for, primarily, mothers-to-be and their babies in Sub-Saharan Africa.

Improving the diagnostic value of portable imaging: Experts propose 3 interventions

After experts from one institution evaluated 500 portable chest x-rays completed during the summer of 2021, it was revealed that 46.2% of the images obtained were problematic, requiring the imaging to be repeated. 

Ultrasound education gets a new academy

A serial entrepreneur who began her career as a sonographer has launched her third ultrasound-based business.

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Might AI automation improve peer review?

With the software’s help, the ratio of CTs requiring radiologist review to missed findings identified was 10:1, experts shared, adding that without the help of AI that ratio would be at least 66:1. 

2 imaging orgs to spread ultrasound access around the world and over the long haul

Something like 50 million people in 10 parts of the developing world stand to experience a bounce in quality of healthcare in coming years thanks to a major new aid project co-led by two large nonprofits with expertise in medical imaging.

Preclinical med students quick studies in cardiac POCUS

Briefly trained in point-of-care cardiac ultrasound, 72% of second-year medical students obtained clinical-quality views from a mannequin and 61% made the correct diagnosis in a volunteer simulated patient.

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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.