@article{ajmcr20261452,
author={{Singh, Dr. Gursewak and Shad, Dr. Vikram and May, Dr. Yosra and Kalakota, Dr. Sruthi and Kaur, Dr. Amanpreet and Herin, Dr. Sofia Olena and Lhadon, Dr. Tenzin and Singh, Dr. Sandeep},
title={Artificial Intelligence Across Dental Specialties: Current Applications, Challenges, and Future Perspectives},
journal={American Journal of Medical Case Reports},
volume={14},
number={5},
pages={54--60},
year={2026},
url={https://pubs.sciepub.com/ajmcr/14/5/2},
issn={2374-216X},
abstract={Artificial intelligence (AI) has emerged as one of the most transformative technologies in modern healthcare, with significant implications for dentistry and digital dental practice. The integration of AI into various dental specialties has enhanced diagnostic accuracy, treatment planning, workflow efficiency, and patient-centered care. Recent advancements in machine learning, deep learning, and neural network algorithms have enabled the development of intelligent systems capable of analyzing radiographic images, predicting treatment outcomes, assisting in orthodontic planning, guiding implant placement, and supporting prosthetic rehabilitation. AI applications have demonstrated promising results across oral radiology, orthodontics, prosthodontics, implantology, periodontology, endodontics, pediatric dentistry, and oral pathology. This narrative review aims to provide a comprehensive overview of the current applications of artificial intelligence across dental specialties, discuss its advantages and limitations, and explore future perspectives that may shape the evolution of digital dentistry and precision oral healthcare.},
doi={10.12691/ajmcr-14-5-2}
publisher={Science and Education Publishing}
}