Impact of an AI-Based Chatbot on Implant Patient Management: RCT
NCT ID: NCT07300657
Last Updated: 2025-12-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
110 participants
INTERVENTIONAL
2024-06-01
2025-06-30
Brief Summary
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Objective: The aim of this randomized controlled clinical trial is to evaluate the effectiveness of an artificial intelligence (AI)-based chatbot, developed and validated by dental experts, in improving oral hygiene and clinical outcomes in patients with implant-supported restorations, compared to traditional educational methods such as printed leaflets and dental hygienist sessions.
Methods: A total of 110 adult patients rehabilitated with dental implants were randomly assigned to either an AI chatbot intervention group or a control group receiving standard oral hygiene education. The chatbot provides continuous, personalized education and motivation through natural language interaction. Clinical and radiographic parameters, including plaque index (PI), bleeding on probing (BOP), probing pocket depth (PPD), and marginal bone loss (MBL), were recorded at baseline and at follow-up visits.
Expected outcomes: It is hypothesized that the use of an AI-based chatbot will significantly improve oral hygiene compliance and clinical outcomes compared to conventional methods.
Significance: The study aims to demonstrate the potential of AI-assisted patient education in promoting long-term peri-implant health and preventing peri-implant diseases.
Detailed Description
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Dental implant therapy is highly successful, but peri-implant diseases, primarily caused by inadequate plaque control, remain a major cause of implant failure. Conventional oral hygiene education methods, such as verbal instructions and printed materials, often fail to ensure long-term patient compliance. Artificial intelligence (AI)-based chatbots, powered by large language models, offer a new way to provide continuous, personalized education and motivation to patients. Although their potential has been explored in orthodontics, little is known about their role in peri-implant maintenance.
Study Objective:
This randomized controlled clinical trial investigates whether an AI-based chatbot developed by dental experts can improve oral hygiene compliance and peri-implant health compared to traditional educational methods.
Study Design:
A total of 110 participants were enrolled between June 2024 and June 2025 in private dental practices in Catania, Italy. The study was approved by the local ethics committee (Protocol ID: 60/2024/CL-PAR) and conducted in accordance with the Declaration of Helsinki (2016 revision). Eligible participants were adults (≥18 years), systemically healthy or with controlled conditions, attending regular supportive periodontal therapy, and having at least one osseointegrated implant. Exclusion criteria included active periodontal disease, heavy smoking, systemic immunosuppression, and pregnancy.
Interventions:
Participants were randomly assigned to two groups:
Chatbot group: Received oral hygiene education and motivational support through an AI-based chatbot specifically developed for implant maintenance.
Control group: Received standard oral hygiene instructions through printed materials and sessions with a dental hygienist.
After the study, the chatbot was made available to the control group.
Outcome Measures:
The primary outcome was the Plaque Index (PI) at implant sites. Secondary outcomes included bleeding on probing (BOP), suppuration (SUP), probing pocket depth (PPD), and radiographic marginal bone loss (MBL).
Expected Impact:
This study aims to validate the use of AI-based educational tools as a complementary strategy for improving patient compliance, plaque control, and peri-implant health. The findings could support the safe and effective integration of AI chatbots into clinical dental practice and patient education programs.
Conditions
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Keywords
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
SINGLE
Study Groups
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Chatbot Group
Participants receive oral hygiene education and motivational support through an AI-based chatbot developed and validated by dental professionals.
AI Chatbot
An artificial intelligence-based chatbot specifically designed and validated by dental experts to provide personalized oral hygiene education and motivational support.
Control Group
Participants receive standard oral hygiene education through printed informational leaflets and scheduled sessions with a dental hygienist.
Standard Oral Hygiene Education
Participants in the Control Group receive traditional oral hygiene education, including printed informational leaflets and scheduled sessions with a dental hygienist.
Interventions
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AI Chatbot
An artificial intelligence-based chatbot specifically designed and validated by dental experts to provide personalized oral hygiene education and motivational support.
Standard Oral Hygiene Education
Participants in the Control Group receive traditional oral hygiene education, including printed informational leaflets and scheduled sessions with a dental hygienist.
Eligibility Criteria
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Inclusion Criteria
* Good periodontal health on either an intact or reduced periodontium;
* Regular adherence to supportive periodontal therapy (SPT);
* Presence of at least one osseointegrated dental implant in the maxilla or mandible, following transmucosal healing for 2-4 months;
* Daily access to a smartphone.
Exclusion Criteria
* Untreated or active periodontal disease;
* Currently undergoing orthodontic therapy;
* Patients with cognitive deficits;
* Smoking habit (more than 10 cigarettes per day);
* History of heavy alcohol consumption;
* Use of immunosuppressive medication;
* Pregnancy or lactation.
18 Years
ALL
Yes
Sponsors
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University of Catania
OTHER
Responsible Party
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Marco Cicciù
Full Professor
Locations
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Intradepartmental Program of Oral Surgery and Early Detection of Oral Cancer, G. Rodolico - San Marco Hospital, AOU Policlinico - San Marco
Catania, , Italy
Countries
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Other Identifiers
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Odonto-IA01
Identifier Type: -
Identifier Source: org_study_id