With 91% sensitivity but only 25% specificity, the tool is worthwhile for clinicians who remain wary of frequent false positives that would send patients with no fractures for unneeded imaging.

A machine learning system has come along that needs no human labeling of data for training yet matches radiologists at classifying diseases on chest X-rays—including some that the model was not specifically taught to detect.

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. 

Konica Minolta Healthcare has received FDA’s go-ahead to market a dynamic digital radiography (DDR) system.  

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

An orthopedic surgeon in California will spend seven years in prison for needlessly X-raying 10 patients hundreds of times over a four-year stretch.

Thanks to public outcry and legislative action in 1968, Black patients have not routinely received higher-dose X-rays than their fair-skinned peers for more than half a century.

Six radiologists interpreting around 500 chest radiographs with an assist from AI bested unaided radiologists in measures of efficiency and/or accuracy in a new comparative performance study.