Demystifying artificial intelligence and deep learning in dentistry

Artificial intelligence (AI) is a general term used to describe the development of computer systems which can perform tasks that normally require human cognition. Machine learning (ML) one subfield AI, where computers learn rules from data, capturing its intrinsic statistical patterns and structures. Neural networks (NNs) have been increasingly employed for ML complex data. The application multilayered NN referred as deep learning, has recently investigated in dentistry. Convolutional neural (CNNs) are mainly processing large imagery they able extract image features like edges, corners, shapes, macroscopic using layers filters. CNN algorithms allow classification, object detection segmentation. literature involving AI dentistry increased rapidly, so methodological guidance designing, conducting reporting studies must be rigorously followed, including improvement datasets. limited interaction between dental field technical disciplines, however, remains hurdle applicable AI. Similarly, users understand why how applications work decide appraise their decisions critically. Generalizable robust will eventually prove helpful clinicians patients alike.