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Artificial intelligence can help in the diagnosis of axSPA

Presented By
Prof. Denis Poddubnyy, Charité Universitätsmedizin Berlin, Germany
ACR 2020
In a study, an artificial neural network was remarkably successful in the assessment of radiographic sacroiliitis. The reliability of radiographic sacroiliitis assessment is known to be poor. Expert readers –as opposed to evaluation by local rheumatologists or radiologists– usually produce more reliable results, but they are not available in many locations. “We see a big discrepancy between the local and central assessment of sacroiliitis reaching sometimes half of the cases,” Prof. Denis Poddubnyy (Charité Universitätsmedizin Berlin, Germany) said. Can artificial intelligence support the diagnosis? For this study, Prof. Poddubnyy and his team used conventional radiographs of sacroiliac joints from 2 independent cohorts of patients with axial spondylarthritis (axSpA), including 1,669 radiographs used to train and validate the neural network, and 100 radiographs used as a test dataset [1]. All radiographs went through reading by both humans and the a...

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