AI rules out abnormal findings on chest X-rays, significantly reducing workloads

Health Imaging August 20, 2024
Hannah Murphy

Commercially available artificial intelligence software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists, new research in the journal Radiology indicates.

What’s more, the tool records fewer critical misses than physicians in many cases, missing over 1% at 95.4% sensitivity. This is an important finding regarding the quality of mistakes AI algorithms make, authors of the new paper suggest.

“Our group and others have previously shown that AI tools are capable of excluding pathology in chest X-rays with high confidence and thereby provide an autonomous normal report without a human in the loop,” lead author Louis Lind Plesner, MD, from the Department of Radiology at Herlev and Gentofte Hospital in Copenhagen, Denmark,...

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