Nearly 30% of corresponding authors included in the analysis shared that they had witnessed scientific fraud in their department within the last five years.

A new paper in Radiology explores factors that can lead to reader variability in CT imaging, from the radiologist’s experience level and subspecialty to navigation patterns and time spent interpreting. 

Researchers believe the new method of assessing treatment responses could pave the way for developing new cancer therapeutics.

When exam volumes increase, so too does the risk of diagnostic errors in interpretations, many of which can be clinically significant.

Experts found that compared to the average effective doses of organs, breast doses were higher, representing increased risks of breast cancer for women. 

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. 

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. 

Denoising using deep learning techniques can boost the performance of 1.5T MR brain imaging, resulting in quality comparable or superior to 3T imaging.