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.

AI-guided 3D simulations of patients' mouths help orthodontists accelerate the fittings and transition between braces, aligners, and retainers. Some tools even enable patients to see AI-powered, life-like simulations of how their teeth, mouth, and face will look after dental work or braces.

The average agreement rate for half of all presenting symptoms was greater than or equal to 90 percent overall. In cases where adjudication was necessary, the consensus diagnosis—reached in 58.2 percent of cases—was always present in the AI's differential diagnosis.

The AI works in two stages, first by predicting how cells are to individual cancer drugs, looking in particular at three genetic markers, and then predicting how they will respond to combinations of two drugs.