Most radiology residents also prefer a more systematized method of sharing their findings, signaling a possible change in future reporting trends. 

The machine learning algorithm works by flagging abnormal, noncontrast exams for intracranial hemorrhage, experts wrote in Radiology: AI. 

To help conserve resources, Irish imaging experts devised a systematic approach for reporting the likelihood of COVID-19 pneumonia on CXR. 

Kaiser Permanente’s system works by dividing patients with suspicious nodules into eight separate categories, similar to screening mammography. 

The gains were particularly notable in MRI and conventional radiography and at smaller hospitals, experts reported in Insights into Imaging. 

Queen Elizabeth Hospital is now in the process of purchasing a new PACS system to reduce some unnecessary manual steps. 

Innovation is crucial to the evolution of radiology, but trailblazers who take shortcuts will be left disappointed, experts advised. 

This more uniform method of reporting has now become the "backbone of oncological imaging" at one high-volume cancer center. 

The intervention is inexpensive and simple to replicate, UW Medicine experts explained in JAMA Network Open. 

The Radiological Society of North America launched its fourth annual artificial intelligence challenge, hoping to help docs detect and characterize the condition. 

That’s according to a new investigation out of the Cleveland Clinic, highlighted in Academic Radiology. 

That’s according to a new study out of Duke University exploring the effectiveness of various TI-RADS strategies, published recently in JACR.