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Title |
The transformative impact of artificial intelligence on periodontal care: A review
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Authors |
Jaideep Mahendra1,*, Devadharshini Chandrasekar1, Roshini Govindarajan1, Pavithra H Dave1, Sajid.T.Hussain2 & Muskan Bedi3
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Affiliation |
1Department of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India; 2Department of Periodontology and Implantology, Bharath University, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India; 3Department of Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India; *Corresponding author
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Jaideep Mahendra - E-mail: drjaideep.perio@madch.edu.in
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Article Type |
Review
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Date |
Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026
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Abstract |
Artificial intelligence (AI) is emerging as a transformative force in periodontal care, reshaping traditional diagnostic, preventive and therapeutic paradigms. Recent advances in algorithms, computational power and access to large-scale digital datasets have enabled the development of sophisticated AI and machine learning (ML) models capable of analyzing complex clinical, radiographic and biological data. These technologies support clinicians in early diagnosis, risk assessment, personalized treatment planning and prediction of disease progression. By integrating AI-driven analytics with the principles of evidence-based dentistry (EBD), periodontal care is transitioning toward more precise, efficient and patient-centered approaches. Thus, we show the evolution of AI in periodontology, its current and emerging clinical applications and its potential to enhance decision-making, optimize outcomes and redefine the future landscape of periodontal practice. |
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Keywords |
Artificial intelligence (AI), electronic brain, machine learning, neural network, dental care
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Citation |
Mahendra et al. Bioinformation 22(1): 369-372 (2026)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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