Aim: To do a comprehensive assessment of the application of artificial intelligence\s(AI) and machine learning (ML) in dentistry, to provide the dental community a wide perspective on the different achievements that these technology and techniques have achieved, giving specific attention to the field of esthetic dentistry and color research. Materials and method: The systematic review was undertaken in MEDLINE PubMed, Web of Science, and Scopus databases, for research published in English language in the previous 15 years. Results: Out of 3213 suitable articles, 103 were included for final review. Study techniques included deep learning (DL; n = 68), fuzzy logic (FL; n = 10), and other ML approaches (n = 24), which were largely used to illness detection, image segmentation, picture correction, and biomimetic color analysis and modeling.