Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Mar 25;17(3):e81162.
doi: 10.7759/cureus.81162. eCollection 2025 Mar.

Impact of Artificial Intelligence on Periodontology: A Review

Maitri S Patel  1 , Santosh Kumar  1 , Bhavin Patel  1 , Shirishkumar N Patel  1 , Gaurav A Girdhar  1 , Hiren H Patadiya  2 , Tanvi Hirani  1 , Mainul Haque  3   4
Affiliations
Review

Impact of Artificial Intelligence on Periodontology: A Review

Maitri S Patel et al. Cureus. .

Abstract

Artificial intelligence (AI) is changing each of the healthcare fields, including periodontology, through the improvement of every diagnosis, treatment plan, and the handling of all patients. AI-driven technologies such as machine learning, deep learning, and computer vision are incorporated into radiographic analysis, automated disease detection, and prognosis prediction. These improvements effectively enable the early detection of periodontal diseases and efficient classification of disease severity. In addition, they allow for specially personalized treatment approaches. AI makes automated periodontal charting, virtual patient monitoring, and decision support systems easier, which improve clinical outcomes and patient care. Despite its immense potential, many substantial difficulties remain, such as data privacy, algorithm reliability, and the meaningful need for clinical validation. This review indicates the revolutionary function of AI in many current dental works and explores all present uses, advantages, limits, and possibilities in periodontology.

Keywords: artificial intelligence; computer program; endodontics; exert influence; gum infection and disease; knowledge engineering; operating system; periodontology; tooth-related disease.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Figures

Figure 1
Figure 1. Diagram showing the methodology of the study.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on March 2, 2025, which has the agreement license number DE27Z6PHTO. Illustration credit: Maitri Patel
Figure 2
Figure 2. Diagram showing various branches of artificial intelligence.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on February 19, 2025), which has the agreement license number KD27XJCYL8. Illustration credit: Maitri Patel
Figure 3
Figure 3. Diagram showing artificial intelligence in dentistry.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on February 20, 2025, which has the agreement license number VQ27XQJXQN. Illustration credit: Maitri Patel CAD, computer-aided design; CAM, computer-aided manufacturing
Figure 4
Figure 4. Diagram showing artificial intelligence in periodontology.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on March 2, 2025, which has the agreement license number NE27Z5RW4R. Illustration credit: Maitri Patel
Figure 5
Figure 5. Diagram illustrating the advantages of AI.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on March 9, 2025, which has the agreement license number US280265RW. Illustration credit: Maitri Patel AI, artificial intelligence
Figure 6
Figure 6. Diagram showing the disadvantage of AI.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on March 9, 2025, which has the agreement license number RM2802E9B9. Illustration credit: Maitri Patel AI, artificial intelligence
Figure 7
Figure 7. Schematic representation of the fundamental findings of this paper.
Note: This figure was drawn using the premium version of BioRender [7] (https://BioRender.com/), accessed on March 9, 2025, which has the agreement license number JI2802K1XI. Illustration credit: Maitri Patel CBCT, cone beam computed tomography
See this image and copyright information in PMC

References

    1. Evaluation of salivary parameters and oral health status in periodontally healthy subjects and chronic periodontitis subjects. Kurien VTV, Shanker RK, Hegde S, Onisha V, Pillai SAS. Adv Hum Biol. 2024;14:203–209.
    1. Methodological issues in epidemiological studies of periodontitis--how can it be improved? Leroy R, Eaton KA, Savage A. BMC Oral Health. 2010;10:8. - PMC - PubMed
    1. Evaluation of periodontal status amongst the diabetic patients visiting private dental clinic in ahmedabad using CPITN. Patel E, Parikh H, Shah R, Mandaliya D, Vishwkarama S, Nayak S. Adv Hum Biol. 2022;12:249.
    1. Validation of a dental image-analyzer tool to measure the radiographic defect angle of the intrabony defect in periodontitis patients. Moutinho RP, Coelho L, Silva A, Lobo Pereira JA, Pinto M, Baptista IP. J Periodontal Res. 2012;47:695–700. - PubMed
    1. Awareness of physicians about the relationship of periodontal diseases and systemic conditions in Nashik district: a questionnaire study [Online Ahead of Print] Patil SS, Kulkarni KN, Patil C, Ojha M, Lihe V, Waghmare S. Adv Hum Biol. 2025

LinkOut - more resources