@article{ajcmr20261431,
author={{Parwez, Dr. Ramsha and Reshamdalal, Dr. Urmi and Kalakota, Dr. Sruthi and Santosh, Dr. and Noorani, Dr. Mohammad Kashif and Shah, Dr. Shimoli and Bhola, Dr. Ridhi and Singh, Dr. Sandeep},
title={Digital Twins in Dentistry: The Next Frontier in Personalized and Predictive Oral Healthcare},
journal={American Journal of Clinical Medicine Research},
volume={14},
number={3},
pages={48--54},
year={2026},
url={https://pubs.sciepub.com/ajcmr/14/3/1},
issn={2328-403X},
abstract={Digital dentistry is rapidly evolving from isolated digital workflows toward integrated, patient-specific systems capable of supporting diagnosis, treatment planning, simulation, and longitudinal monitoring. Digital twins represent an emerging concept in this transition, providing dynamic virtual representations of patients that can integrate multimodal and longitudinal data from CBCT, intraoral and facial scanning, clinical records, artificial intelligence, and other digital technologies. This review explores the concept and technological foundations of dental digital twins and examines their emerging applications across prosthodontics, implant dentistry, orthodontics, restorative dentistry, oral and maxillofacial surgery, periodontology, endodontics, maxillofacial prosthetics, and preventive dentistry.},
doi={10.12691/ajcmr-14-3-1}
publisher={Science and Education Publishing}
}