Researchers from Switzerland developed a prototype natural language processing and image-matching algorithm to identify and present relevant prior examinations for the radiologist. In testing, they found that mean interpretation times for CT and MRI exams dropped by 40%.
The results suggest a way to streamline the radiology department’s workflow.
“[Acceleration] of finding evaluation by automatizing reoccurring actions otherwise manually performed by a radiologist is feasible, as demonstrated with an algorithm assisting in finding comparison to relevant prior studies,” wrote a team led…
Go to publisher site for the complete article:
Read More