Artificial Intelligence in diagnostic imaging of periodontal disease
Research type
Research Study
Full title
The application of artificial intelligence and deep learning models in the radiological diagnosis of dental disease
IRAS ID
341577
Contact name
Damian JJ Farnell
Contact email
Sponsor organisation
Cardiff University
Duration of Study in the UK
3 years, months, days
Research summary
This study is conducted in two phases to employ advanced dental imaging diagnostics, using Artificial Intelligence (AI) and deep learning (DL). In Phase 1, anonymized dental panoramic images are collected and analyzed. Phase 2 extends this work by including anonymized cone-beam computed tomography (CBCT) images. Periodontal pathology in the images is carefully labeled for training purposes. The data is secondary, sourced from existing dental records and anonymised at source.
Various DL models will be applied to these labeled datasets to train and test their performance in diagnosing dental conditions. The best-performing models are identified, with their results saved for future use.
The final stage of the research explores practical aspects of implementing any developed software, considering its benefits, challenges, and potential for real-world application. This includes addressing possible pitfalls (and evaluating the feasibility) of translating the research outcomes into clinical practice, paving the way for innovation in dental diagnostics in the NHS primary and secondary care settings.
REC name
N/A
REC reference
N/A