In the UK, researchers are spearheading a project building an AI model able to identify cases of dental diseases as well as enhance diagnostic accuracy. The University of Surrey is steering this landmark initiative alongside King’s College London, Royal Surrey NHS Foundation Trust and Oral Health Foundation. This venture’s goal is to deliver a holistic solution that transforms dentistry practice by revolutionizing the detection of dental problems. The National Institute for Health and Care Research has granted £1.55 million (€1.79 million) to support the project, which marks a significant step towards leveraging AI technology to improve dental diagnostics.
Dr. Yunpeng Li who is a senior lecturer on technology at Surrey University, says – that such AI systems could help dentists and orthodontists save money and time. Simply by allowing for a computer to pick out any abnormality from radiography images; it can greatly improve the clinical accuracy and speed at which diagnosis is made.
The next part of the project will focus on creating a functional prototype that can operate under genuine clinical conditions such that it gathers annotated radiographs for a custom-built AI model for dental disease detection embedded into this stage. Dr. Owen Addison who was identified by joint project management as well as a member of the oral rehabilitation professors’ panel at King’s College London underscored the necessity of having trust and reliability associated with clinical applications if intended outputs are to be achieved in a more realistic sense. With a focus on achieving a high degree of accuracy, the researchers are committed to delivering comprehensive outcomes over the coming years, ultimately advancing dental diagnostics and improving patient care.
