Compressed sensing (CS) can reduce the typically long acquisition time of conventional ankle MRIs while preserving imaging quality, according to a small study published in the European Journal of Radiology.

You can find just about anything in an app store. Soon, that may include artificial intelligence applications for radiologists, as a recent Harvard Business Review article suggested.

Aidoc announced Tuesday, June 11, that it has received FDA clearance for its AI-based solution for triaging cervical spine fractures.

A 2017 update to LI-RADS included an algorithm for hepatocellular carcinoma (HCC) screening and surveillance on ultrasound. While HCC remains the sixth most common cancer, the clinical performance of US LI-RADS for diagnosing the disease has yet to be studied.

“Because this language model can so rapidly adapt to existing training labels, these results should not be considered the final work but rather a foundation upon which iterative improvement can be performed,” wrote the author of a new study published in the Journal of the American College of Radiology.

Researchers estimate nearly 4.4 million medical imaging files were exposed through online file repositories—nearly double the number revealed last year, according to a May 30 report published by digital risk prevention company Digital Shadows.

“Despite the common discovery of the (incidental lung nodule) ILN, assessment of radiology reports for lung nodule incidence and guideline concordance of recommendations is understudied,” wrote authors of research published in the Journal of the American College of Radiology.

An AI-optimized American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS) improved risk stratification of thyroid nodules and may be easier for readers to use, according to a new study published in Radiology.

The method spared nearly 90% of patients from unnecessary contrast and additional imaging sequences, reported authors of a May 16 study published in the Journal of the American College of Radiology.

"It remains poorly understood how much radiologists vary when recommending additional imaging and what additional radiologists and other factors influence the likelihood of additional imaging," wrote authors of a new study published in Radiology.

“For CCTA to enter the mainstream of diagnostic clinical care, it is necessary to decrease observer variability and automate key parts of the interpretive process to manage the subjectivity, time-consuming nature, and variability of reader interpretation,” wrote authors of a new study published in the European Journal of Radiology.

The 2017 Liver Imaging Reporting and Data System (LI-RADS) included an algorithm to assess hepatocellular carcinoma (HCC) treated with local-regional therapy, but the method was never validated. A team of researchers took on the task, publishing their results April 30 in Radiology.