Smart Odontogram: Dental Diagnosis of Patients Using Deep Learning

Odontogram is a medical record for dental patient. It records the condition of patient’s tooth and helps dentist to diagnose patient’s tooth and to provide further treatment. Though, many dentists do not fill odontogram completely because either they are too busy to treat other patient, or they run out of odontogram form. Therefore, this research aims to build a platform that could help dentists to create, store, and analyze dental medical record called Smart Odontogram. The platform consists of cloud computing and edge computing. The cloud computing act as a server to store and analyze medical record using big data technology and deep learning, while the edge computing diagnoses the patient’s tooth using intraoral camera with the help of artificial intelligence. The AI used in this platform is using deep learning method with YOLO algorithm. The test result shows that the model accuracy for diagnosing dental disease is 85.7% and tooth classification is 99.3%. The delay result for storing medical record on the cloud has average latency 5734.2ms, retrieve patient’s medical record is 91.2ms, and analytic simulation time when uploading and analyze tooth image simultaneously is 1008.8ms.