Radiology Business January 31, 2023
A deep learning algorithm for CT has achieved excellent accuracy separating colon cancer from acute diverticulitis.
What’s more, in a new study recreating reading-room conditions, the model augmented and significantly improved diagnostic performance for board-certified radiologists as well as radiology residents.
The algorithm, a 3D convolutional neural network (CNN), was developed and validated by radiologists and surgeons at Technical University of Munich in Germany.
JAMA Network Open published the team’s report online Jan. 27 [1].
Sebastian Ziegelmayer, MD, Rickmer Braren, MD, and colleagues worked with records of 585 patients who had CT imaging and surgery for either colon cancer or acute diverticulitis over a 15-year period ending in 2020.
To develop their model, the team used bounding boxes in...
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