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Computer scientists and physicians in Germany have collaborated to develop an AI system that can detect different types of arthritis early.

Focusing on the finger joints, which are often the first parts of the body to show signs of arthritis, the team have pioneered an artificial network that can successfully read scans for signs of the disease. And the AI accurately identified the ‘82% of healthy joints, 75% of the cases of rheumatoid arthritis and 68% of the cases of psoriatic arthritis’.

“We are very satisfied with the results of the study as they show that artificial intelligence can help us to classify arthritis more easily, which could lead to quicker and more targeted treatment for patients. However, we are aware of the fact that there are other categories that need to be fed into the network. We are also planning to transfer the AI method to other imaging methods such as ultrasound or MRI, which are more readily available,” said Lukas Folle, from the University of Erlangen-Nuremberg.

The research was published today in a report in the journal Frontiers in Medicine.

The post AI successful in early diagnosis of arthritis first appeared on Innovators magazine.

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