What does this research mean for the field?

A web-based decision-support system for periodontal diagnosis achieves clinically acceptable agreement with gold-standard clinician assessments and significantly reduces diagnostic time. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess the diagnostic agreement, accuracy, and workflow efficiency of a web-based automated decision-support system for periodontal diagnosis, risk assessment, and recall planning relative to expert clinician assessment.

August 27, 2026Journal of Oral Biology and Craniofacial ResearchOpen Access

Clinical validation of a web-based decision support system for periodontal diagnosis, risk assessment, and recall planning: A multicenter study

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Authors

ANAruna NautiyalKothiwal Dental College and Research Centre TATanya AttreKothiwal Dental College and Research Centre SSSonali SinghChandigarh University

Discussion

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Implication

Multicenter validation study demonstrates reliable periodontal diagnosis and reduced assessment time using an automated system, indicating potential for streamlined dental workflows.

Key Points

To assess the diagnostic agreement, accuracy, and workflow efficiency of a web-based automated decision-support system for periodontal diagnosis, risk assessment, and recall planning relative to expert clinician assessment.
Conducted a two-phase multicenter study involving rule-based algorithm development with 2,000 anonymized periodontal records and prospective clinical validation in 328 consecutive patients.
Evaluated automated staging, grading, risk categorization, and recall interval recommendations against independent clinician diagnoses using Cohen's kappa statistics, sensitivity, specificity, and time-to-diagnosis.
Automated system showed moderate agreement for periodontal staging and grading, with higher agreement for risk categorization and recall recommendations.
High sensitivity and negative predictive values were achieved for detecting advanced periodontitis (Stage III–IV), with most discrepancies limited to adjacent categories.
Diagnostic time was significantly reduced with the automated system compared with conventional clinician assessment (p < 0.0001).

Cite This Study

Nautiyal et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe9da10c91c1e92621db1 https://doi.org/10.1016/j.jobcr.2026.101525

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Implication

Multicenter validation study demonstrates reliable periodontal diagnosis and reduced assessment time using an automated system, indicating potential for streamlined dental workflows.

Clinical validation of a web-based decision support system for periodontal diagnosis, risk assessment, and recall planning: A multicenter study

Discussion

Member takes

Implication

Key Points

Cite This Study

Clinical validation of a web-based decision support system for periodontal diagnosis, risk assessment, and recall planning: A multicenter study

Discussion

Member takes

Implication

Key Points

Cite This Study

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