Blockchain could be used to streamline preauthorization, share images between institutions and empower patients. But if healthcare as a whole isn't interested in sharing data, no technology can solve the industry's imaging informatics problems.

 

In order to properly train and validate algorithms, developers need high volumes of quality-labeled data. But such datasets are not easy to obtain.

A new CT- and PET-imaging-based approach—one that entails applying big data to personalizing treatment protocols—is needed to better identify which head and neck carcinoma (HNC) patient subgroups respond to which specific therapies.

A recent study validating the 2017 version of the ultrasound Liver Imaging Reporting and Data System (US LI-RADS) for detecting hepatocellular carcinoma (HCC) identified a few limitations in its scoring.

“The fact that CAD significantly shortened interpretation time is important, especially if either state or federal legislation ends up mandating, or even recommending, additional screening with US for women with dense tissue on mammograms," wrote Priscilla J. Slanetz, MD, MPH, in an accompanying editorial.

The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) was originally created to improve patient management and avoid unnecessary fine needle aspiration biopsy in patients with thyroid nodules. However, its clinical use is still questioned.

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.