eng Science and Education Publishing American Journal of Clinical Medicine Research 2328-403X 2026-11-11 14 3 48 54 10.12691/ajcmr-14-3-1 AJCMR20261431 article Dr. Ramsha Parwez 1 Dr. Urmi Reshamdalal urmireshamdalal24@gmail.com 2 Dr. Sruthi Kalakota 3 Dr. Santosh 4 Dr. Mohammad Kashif Noorani 5 Dr. Shimoli Shah 6 Dr. Ridhi Bhola 6 Dr. Sandeep Singh 6 Dow University of Health Sciences, Karachi, Pakistan Vaidik Dental College and Research Center, Daman, Gujarat, India Drs. Sudha & Nageswara Rao Siddartha Institute of Dental Sciences, Andhra Pradesh, India Postgraduate Institute of Dental Sciences, Rohtak, India BDS, MDS, Bapuji Dental College & Hospital, Rajiv Gandhi University of Health Sciences, India. Resident, Master of Science in Dentistry [MSD] in Dental Biomaterials, UAB School of Dentistry, The University Of Alabama At Birmingham, United States of America AMC Dental College & Hospital, Ahmedabad, India. Boston University, United States of America 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. https://pubs.sciepub.com/ajcmr/14/3/1/ajcmr-14-3-1.pdf Digital twins Digital dentistry Personalized dentistry Predictive dentistry Virtual patient Artificial intelligence Digital workflow Precision dentistry