Advancing precision dentistry: the integration of multi-omics and cutting-edge imaging technologies—a systematic review

Advancing precision dentistry: the integration of multi-omics and cutting-edge imaging technologies—a systematic review

BackgroundThe convergence of multi-omics, advanced imaging technologies, and artificial intelligence (AI) is reshaping diagnostic strategies in precision dentistry. This systematic review critically assesses how the integration of multi-omics (genomics, proteomics, metabolomics), advanced imaging mo...

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Bibliographic Details
Main Author: Neelam Das
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Dental Medicine
Subjects:
precision dentistry
multi-omics
proteomics
PRISMA
AI in dentistry
CBCT
Online Access:https://www.frontiersin.org/articles/10.3389/fdmed.2025.1581738/full
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Summary:BackgroundThe convergence of multi-omics, advanced imaging technologies, and artificial intelligence (AI) is reshaping diagnostic strategies in precision dentistry. This systematic review critically assesses how the integration of multi-omics (genomics, proteomics, metabolomics), advanced imaging modalities (CBCT, MRI), and AI-based techniques synergistically enhances diagnostic accuracy, clinical decision-making, and personalized care in dentistry.MethodsThe review follows PRISMA 2020 guidelines. A total of 50 studies published between 2015 and 2024 were selected using a PICOS framework. Analytical tools included meta-analysis (Forest and Funnel plots), risk of bias assessment, VOS viewer-based bibliometric mapping, and GRADE evidence grading.ResultsMulti-omics approaches revealed key biomarkers such as TP53, IL-1, and MMPs in early diagnosis. CBCT reduced diagnostic error by 35% (CI: 30%–40%), while MRI improved soft-tissue evaluation by 25% (CI: 18%–32%). AI tools, including convolutional neural networks and radiomics, led to a 40% reduction in diagnostic time (CI: 33%–45%) and improved lesion classification.ConclusionIntegrating AI with omics and imaging technologies enhances diagnostic precision in dentistry. Future efforts must address data standardization, ethical implementation, and validation through multicenter trials for clinical adoption.
ISSN:2673-4915

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