<p>Recently, there has been considerable interest in the practical uses of artificial intelligence (AI) in dentistry. Deep learning, a part of machine learning that has shown the most extraordinary performance, has been proven to be a powerful diagnostic and auxiliary tool. Significantly, dealing with image processing using computerized analysis of radiographic or graphic images is even more effective. The main objective of this study is to critically examine the literature to identify potential methodological flaws in the research and their use in a real clinical environment along with their limitations. This review contains around 182 publications and research works from 2000 to 2025 that describe the uses of AI-based approaches in solving problems for multiple research areas of dentistry. The selection of studies was based on recent advances in dentistry in PubMed, Web of Science, and Google Scholar. Specifically, keywords like digital dentistry, AI, machine learning, and deep learning were used. Our study concludes that the recent advances mainly cover a small part of the complete dental process and that the practical application is still in progress. However, they have a lot of additional limitations, such as the practical clinical application of the method for real-time dental treatment. We hope that we can use AI in the treatment to automate the whole dental treatment process, from patient examination to assessment after treatment. Therefore, future research should acknowledge the ethical and technical challenges and use of digital assistants in dental treatments with more care. Finally, it will aid in establishing a better understanding of the use of implementing deep learning in dentistry.</p>