AI systems, particularly those using machine learning, can quickly analyze these images and detect signs of caries. They save time and can improve the accuracy of diagnosis by catching early-stage caries that the human eye may miss [16]. AI can also be used to predict the risk of dental caries.

Treatment planning: Artificial/augmented intelligence-based software can assist dentists in treatment planning by analyzing patient data, case histories and treatment outcomes. These tools provide valuable insights, helping dentists make informed decisions about treatment options, materials and techniques.

Overjet has raised $53.2 million from investors led by March Capital to develop and expand an AI platform that helps diagnose disease from scans and other data, aiming to make trips to the dentist easier for patients and insurers.

In recent years, many CBCT studies have used AI, ML, and DL methods. Preparing the data in a way that the AI algorithm can use it effectively is known as data pre- processing, and it is a crucial step in the AI process for CBCT data.