EDITORIAL article
Front. Dent. Med.
Sec. Pediatric Dentistry
Volume 6 - 2025 | doi: 10.3389/fdmed.2025.1723059
This article is part of the Research TopicUse of Teledentistry and Artificial Intelligence to Enhance Dental Care for Vulnerable PopulationsView all 6 articles
Editorial: Use of Teledentistry and Artificial Intelligence to Enhance Dental Care for Vulnerable Populations
Provisionally accepted
- 1Nationwide Children's Hospital, Columbus, United States
- 2College of Dentistry, The Ohio State University, Columbus, United States
- 3Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
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The collection on this research topic "Use of Teledentistry and Artificial Intelligence to Enhance Dental Care for Vulnerable Populations," presents diverse perspectives on the use of emerging technologies to improve oral health, covering the mobile app interventions, ethical considerations in AI use, and the quality of AI-generated dental advice. Four research articles that offer new insight were included. One original research article in this collection used the Telesmile mobile app to improve oral health for populations with special health care needs. A perspective article examined ethical considerations for using AI among vulnerable populations. A mini review outlined innovations on the horizon for emerging technologies, including teledentistry, artificial intelligence, and hybrid models. Finally, another original research article examined the quality of artificial intelligence-generated pediatric dental advice across different platforms. The articles in this collection share developments in teledentistry, artificial intelligence, and other technologies will allow clinicians, researchers, and patients to revolutionize how dentistry is practiced worldwide and to ensure oral health for vulnerable populations. Together, these innovations have the potential to reduce oral health disparities, enhance preventive care, and support more equitable healthcare delivery.
Keywords: Teledentistry, Artificial intelligence (AI), Remote patient monitoring (RPM), Mobile health (mHealth), Vulnerable populations (health), Dental Care
Received: 11 Oct 2025; Accepted: 21 Oct 2025.
Copyright: © 2025 Danesh, Lam and Duangthip. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Tammy Duangthip, duangthip.2@osu.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.