A Comparative Study on the Working of GNN and CNN on Panoramic X-Rays in Prediction of Dental Diseases

Artificial Intelligence, particularly Machine Learning and Deep Learning, has become increasingly popular to support medical diagnostics. The development of AI in dentistry has become a huge boon for patients, as their results can be calculated using sophisticated Deep Learning models, which will provide the results within a short time span when compared to other methodologies. In this case, the Graphical Neural Network (GNN) model outperforms other models like the CNN model in terms of the accuracy measures. Using this model, the doctor will get the prediction of disease from the patient X Ray/report. In this research, the GNN and the CNN algorithms have been compared for the prediction of dental diseases. The GNN algorithm obtained close to 99% accuracy and the CNN algorithm obtained 93% accuracy.