Trial reportJournal of medical Internet research2025
Effects of Mobile-Based AI-Enhanced Health Counseling on Protection Motivation, Self-Care Behaviors, and Periodontal Treatment Outcomes in Patients With Periodontitis: Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
4 citing papers in PubMed.
- Innovations using digital technologies for periodontal diagnosis and prognosis: a narrative review.Acta odontologica Scandinavica · 2026Review
- Oral Health Behavior Management in Patients with Periodontitis: A COM-B-Guided Qualitative Study.Patient preference and adherence · 2026Article
- Application of artificial intelligence in oral health management: challenges and opportunities.Frontiers in medicine · 2026Review
- Advancing Nursing Through Artificial Intelligence: A Systematic Literature Review of Current Evidence.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients' protection motivation (PM) and self-care behaviors are essential for sustaining oral hygiene adherence and long-term periodontal health. Objective: This study aimed to evaluate the effects of artificial intelligence (AI)-assisted dental monitoring on PM, behavioral change, and periodontal treatment outcomes. Methods: Patients with periodontitis were randomly assigned to an AI group (n=32), an AI-assisted health counseling (AIHC) group (n=33), or a control group (n=33). All participants received nonsurgical periodontal treatment and oral hygiene instruction. The AI and AIHC groups additionally received AI-based monitoring and, for the AIHC group, personalized counseling for 3 months. PM (threat and coping appraisal), self-care behavior, plaque control record, probing pocket depth, and clinical attachment level were assessed at baseline and follow-ups. Generalized estimating equations were used to analyze the follow-up effects over time, with an intention-to-treat analysis for group comparisons. Results: Significant time effects were observed for threat appraisal and coping appraisal at 6 months (adjusted mean ratio 1.07 and 1.06, respectively), with no significant group-by-time interaction. At 6 months, both AI and AIHC groups showed greater improvements in self-care behavior (AI: adjusted regression coefficient [aβ] 0.32; AIHC: aβ 0.29) and plaque control record (AI: aβ -13.28; AIHC: aβ -23.22) compared to the control group. At 3 months, the AI and AIHC groups also demonstrated greater reductions in probing pocket depth (aβ -0.43 and -0.55, respectively) and clinical attachment level (aβ -0.44 and -0.51, respectively). Conclusions: AI-assisted monitoring improved self-care behaviors, plaque control, and periodontal clinical outcomes. Although PM constructs (threat appraisal and coping appraisal) improved similarly across all groups, the greater behavioral and clinical improvements observed in the AI-assisted groups highlight the potential of AI monitoring as an effective tool to enhance periodontal care. Incorporating AI technologies into routine practice may empower patients to take a more active role in managing their oral health and support more effective, patient-centered periodontal therapy.
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