ARTIFICIAL intelligence could soon help diagnose worsening knee arthritis, thanks to a new model based on data from the MRIs and biochemical tests of almost 600 patients.

The model improved the accuracy of doctors’ predictions of worsening osteoarthritis from 46.9 to 65.4%.

The Australian and international researchers published the model in PLOS Medicine.

“Our study shows that combining deep learning with longitudinal MRI radiomics and biochemical biomarkers significantly improves the prediction of knee osteoarthritis progression – potentially enabling earlier, more personalised intervention,” lead author Ting Wang of Chongqing Medical University said.

“This work is the result of years of collaboration across multiple disciplines, and we were especially excited to see how non-invasive imaging biomarkers could be leveraged to support individualised patient care.”

Read the paper HERE.

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