AI researchers work on detecting arthritis earlier

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AI researchers work on detecting arthritis earlier

Artificial intelligence is revolutionizing the early detection of arthritis and related diseases. A team at the University of Reading has secured £1.2 million in funding to develop a machine learning system named RMD-Health. This initiative aims to identify rheumatic and musculoskeletal diseases more effectively than current methods.

The project will be piloted at the Royal Berkshire NHS Foundation Trust and Oxford University Hospitals NHS Foundation Trust. By utilizing patient referral data, the system promises significantly higher accuracy in diagnosis, which could lead to improved patient outcomes and reduced healthcare costs. Collaboration with various healthcare stakeholders ensures a comprehensive approach to integrating AI into clinical practice.

• AI system RMD-Health aims to improve early detection of arthritis.

• Collaboration with hospitals enhances the accuracy of disease diagnosis.

Key AI Terms Mentioned in this Article

Machine Learning

The RMD-Health system utilizes machine learning to enhance the accuracy of arthritis detection.

Decision Support System

The project introduces a machine learning-based decision support system to assist doctors in patient referrals.

Rheumatic and Musculoskeletal Diseases (RMD)

The project focuses on early detection of RMD to improve treatment outcomes.

Companies Mentioned in this Article

University of Reading

The University of Reading leads the RMD-Health project aimed at enhancing disease detection through AI.

Royal Berkshire NHS Foundation Trust

The trust will pilot the RMD-Health system to improve early detection of rheumatic diseases.

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