Key points are not available for this paper at this time.
Dental implants are a popular medical solution for restoring one or more lost teeth. By being surgically inserted into the jawbone or skull, an implanted dental prosthesis may support a crown, bridge, denture, or face prosthesis. The implant is often made of titanium or a titanium alloy. The missing tooth root is replaced by surgically implanting a new one into the jawbone. Dental implants are generally regarded as a more durable and long-lasting solution than other dental prostheses and may help a person's smile operate and look better. It is essential to employ the proper imaging methods for implants and to properly interpret the data. The preliminary objective of the paper is to investigate the impact of AI on different stages of dental implant procedures. Also, the study aims to evaluate the potential benefits of AI in terms of reduced procedural time, improved success rates and enhanced patient satisfaction. A systematic review is based on 183 papers of Dental Implant using Artificial Intelligence from 2017 to 2023. Machine learning algorithms and computer-aided design tools utilized in dental implant procedures will be analysed. Furthermore, the study will involve the development and validation of an AI-driven model for implant planning, utilizing diagnostic radiographic images. Through the implementation of advanced Deep learning algorithms this research aims to provide a comprehensive understanding of the benefits and challenges associated with AI in dental implant procedures.
Khairkar et al. (Wed,) studied this question.