AI-guided personalized drug-delivery nanoparticles for precision treatment of peri-implantitis: A multicenter evaluation

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Authors: Yeshwant Alias Tuenkar, Swapnil Shankargouda, Bhumika Sehdev, Ms. Renu Bala Singh, Jaiganesh Ramamurthy, Niva Mahapatra
Cited by: 2
References: 19

Abstract

Introduction: Peri-implantitis is a pathological situation, which is characterized by inflammation of the peri-implant mucosa and gradual loss of supporting bone. Traditional methods, most often mechanical debridement are not effective enough to remove every bacteria biofilm on the rough titanium surfaces of the implants resulting in high recurrence rates. Nanotechnology can provide opportunities in targeted drug delivery, and artificial intelligence can allow personalizing the therapeutic regimen in relation to specific biomarkers of patients. Material and Methods: 124 moderate-to-severe peri-implantitis patients were recruited in three dental clinics of the universities. The patients were randomly distributed into control group (mechanical debridement + Placebo gel) and test group (mechanical debridement + artificial intelligence -guided Nanoparticle gel). In the test group, the artificial intelligence algorithm has examined the predictors of peri-implant crevicular fluid biomarkers (IL-1β, MMP-8) and microbiological profiles in order to define the most suitable release kinetics and dose of minocycline-loaded nanoparticles. Clinical variables, which were probing pocket depth, bleeding on probing, and radiographic bone level, were measured at baseline, 3 months, and 6 months. Results: Test group had a much more remarkable decrease in mean probing pocket depth as opposed to control group (2.8 ± 0.6 mm vs. 1.4 ± 0.5 mm; p < 0.001) at the 6-month follow-up. The bleeding on probing resolution percentage was 84.5 in the test group and 48.2 in the control group (p < 0.01). Also, radiographic analysis indicated that the artificial intelligence -nanoparticle group showed a mean of 0.88 ± 0.29 mm bone gain as opposed to the control group of 0.16 ± 0.10 mm (p = 0.02). Summary: artificial intelligence -directed personalization with nanoparticle delivery of drugs was able to promote better clinical outcomes in peri-implantitis therapy as compared to mechanical debridement alone. This is a promising avenue of treating complicated infections around the implant through this precision medicine method.

Fields of Study & Subjects

Dental Implant Techniques and Outcomes Scientific and Engineering Research Topics Dental Radiography and Imaging

Publication details

Journal / source
THE NEW ARMENIAN MEDICAL JOURNAL
Publisher
Yerevan State Medical University
Volume
20
Issue
2
Pages
36–36
Publication date
24 February 2026