Title : Introducing artificial intelligence software in the diagnosis of dental diseases based on dental radiology
Abstract:
The future of dental diagnostics has been shaped using continuous advancements in artificial intelligence. Using these technologies the impact on the clinical practice has been expanded significantly. We introduce the dental AI software based on deep machine learning model which can analyse the dental radiographs based on steps like image input, automated analysis, detection of abnormalities like caries, periodontal bone loss, impactions etc: in OPG and RVG and detection of abnormalities based on the colour images. The development of our AI software with whom we collaborated started with training of annotations on normal anatomical landmarks followed by annotation of pathologies on RVG and OPG. The better diagnostic AI software works on WEB UI/API – application programming interface and prediction of oral diseases using AI computer vision algorithms.
The trial of our software had 94.8% accuracy as used by various dentists in their clinical practice. Our diagnostic software which has FDA cleared analysis in real time, helps to transform the powerful diagnostic tool which supports the evidence-based decision and management care of patients. The key features of our software include minimal technical support with continuous workflow, friendly interface, student learning models, also provides transparency to patients for their own understanding. In future we plan a integrated AI model based on clinical and radiological features in the field of OMF radiology, which would be the most promising areas for the further development of dentistry.
