SynthesisBMC oral health2026
An interdisciplinary framework for artificial intelligence, precision medicine, and ethical governance in periodontal care: a systematic review.
Synthesis in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
introductionPeriodontal disease represents a significant global health challenge, affecting nearly one billion people worldwide. The integration of artificial intelligence (AI), precision medicine, and ethical governance frameworks offers transformative potential for revolutionizing periodontal care through personalized approaches and enhanced diagnostic capabilities.
methodsA systematic search of electronic databases including PubMed/MEDLINE, Web of Science, Scopus, and IEEE Xplore were conducted for literature published from 2020 onward. The study selection process identified publications focusing on AI, precision medicine, or ethical governance in periodontal care. Inclusion criteria encompassed studies involving human subjects or human-derived data, published in English from 2020 onward. Data extraction captured study characteristics, AI performance metrics, precision medicine applications, and ethical considerations. A narrative synthesis approach was employed to analyze and organize the findings into three domains: AI applications, precision medicine approaches, and ethical governance frameworks.
resultsA total of 326 records were identified from databases, with 63 studies meeting inclusion criteria. The analysis revealed that AI algorithms, particularly convolutional neural networks, achieved exceptional diagnostic performance with area under the curve (AUC) values frequently exceeding 0.85 for automated detection of periodontal bone loss and disease classification. Precision medicine approaches demonstrated significant advances through genetic susceptibility profiling, salivary biomarker identification, and personalized treatment protocols. However, critical ethical challenges emerged, including data privacy concerns, algorithmic bias in underrepresented populations, and regulatory gaps in dental AI applications.
conclusionThe convergence of AI and precision medicine represents a paradigm shift in periodontal care, enabling unprecedented personalization of diagnosis and treatment. Successful implementation requires developing robust ethical governance frameworks, standardized validation protocols, and comprehensive educational programs to ensure equitable access and maintain clinical excellence while harnessing technological innovation.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.