Ardila CM. Advancing dental precision: The synergy of magnification and artificial intelligence. World J Methodol 2025; 15(4): 105326 [DOI: 10.5662/wjm.v15.i4.105326]
Corresponding Author of This Article
Carlos M Ardila, Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Antioquia, Colombia. martin.ardila@udea.edu.co
Research Domain of This Article
Dentistry, Oral Surgery & Medicine
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Methodol. Dec 20, 2025; 15(4): 105326 Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105326
Advancing dental precision: The synergy of magnification and artificial intelligence
Carlos M Ardila
Carlos M Ardila, Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia, Medellín 050010, Antioquia, Colombia
Carlos M Ardila, Department of Periodontics, Saveetha Dental College, and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Saveetha, Saveetha 600077, India
Author contributions: Ardila CM contributed to the conception, analysis, interpretation of data, drafting, writing- reviewing and editing the manuscript.
Conflict-of-interest statement: The author reports no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Carlos M Ardila, Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia, Calle 70 No. 52-21, Medellín 050010, Antioquia, Colombia. martin.ardila@udea.edu.co
Received: January 18, 2025 Revised: March 19, 2025 Accepted: March 20, 2025 Published online: December 20, 2025 Processing time: 198 Days and 20 Hours
Abstract
The article by Chauhan et al highlights the transformative potential of magnification tools in improving precision and outcomes across various dental specialties. While the authors discuss the advantages of magnification, they do not address the potential integration of artificial intelligence (AI) with magnification devices to further enhance diagnostic and therapeutic efficiency. This letter explores the synergy of AI with magnification tools, emphasizing its applicability in image-guided diagnostics, workflow optimization, and personalized treatment planning. The integration of AI and magnification also paves the way for personalized, data-driven treatment strategies, marking a significant evolution in dental care. However, it is important to acknowledge the limitations and challenges associated with AI, such as data privacy concerns, algorithmic biases, and the need for robust validation before clinical implementation. This discussion underscores the need for interdisciplinary research to realize this potential.
Core Tip: Magnification tools have revolutionized dentistry, but their integration with artificial intelligence (AI) represents the next paradigm shift. This letter highlights the potential of AI-enhanced magnification for diagnostics, workflow optimization, and personalized treatment planning. AI algorithms can analyze magnified images for early diagnosis, streamline procedures with real-time feedback, and provide tailored treatment insights based on patient-specific data. These innovations promise to elevate precision, efficiency, and outcomes in dental care, encouraging interdisciplinary advancements to fully realize this synergy.
