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

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.