A new study utilizing multi-organ MRI scans recently identified organ impairment in 62% of COVID long haulers six months after their initial diagnosis; 29% of these individuals continued to display damage in at least one organ at the 12-month mark.

A CCTA-based radiomics method was recently found to be more accurate in identifying potentially problematic plaques than conventional CCTA anatomical parameters alone.

Quantifiable features of medical images such as pixel intensity, arrangement, color and texture—in a word, radiomics—can help radiologists improve diagnostic accuracy.

Amy Thompson, a senior analyst at Signify Research, explains why radiology is rapidly adopting cloud data storage solutions.

Recent developments in NLP technology have improved its ability to recognize semantics and context, making it more likely that NLP could generate coherent medical reports without radiologist assistance. 

A new analysis compared the results of 39 published studies and nearly 50,000 patient cases to rank the performances of six different thyroid nodule stratification systems.

Experts involved in the new research suggest that identifying these spatiotemporal variations could play an important role in clinical research and precision medicine. 

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.