Neural network learns to differentiate between healthy and inflamed bones using finger joints

There are many different types of arthritis, and diagnosing the exact type of inflammatory disease that is affecting a patient’s joints is not always easy. In an interdisciplinary research project conducted at Friedrich–Alexander University (FAU) and Universitätsklinikum Erlangen, computer scientists and physicians have now succeeded in teaching an artificial neural network to differentiate among rheumatoid arthritis, psoriatic arthritis and healthy joints.

This article was originally published on MedicalXpress.com

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