Artificial intelligence in planning oral rehabilitations : current status

Abstract

Diagnostic digital 3D images, such as cone-beam computed tomography (CBCT) and magnetic resonance imaging (MRI), have been widely evaluated quantitatively and qualitatively regarding their diagnostic performance for identify various alterations. Digital 3D methods for imaging acquisition have also been used along with computer-aided design and computer-aided manufacturing (CAD-CAM) for several clinical applications in oral rehabilitation. The current advantages of these methods compared to the traditional analogous ones have been described in a previous Editorial published in this journal. In general, digital workflow in dentistry enhances predictability and some of the clinical outcomes, such as dental prosthetic adaptation and trueness, with shorter total treatment times. In this context, artificial intelligence (AI) algorithms have been used to further orient dentists regarding the diagnosis and prognosis of several types of clinical situations.