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Artificial Intelligence (AI)-Powered Thermal Imaging for Gingival Inflammation Detection

NCT06830161 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2025-02-17

No results posted yet for this study

Summary

This study investigates a novel approach for detecting gingival inflammation using thermal imaging and artificial intelligence (AI). Thermal imaging is a technique that utilizes heat to generate detailed images, while AI assists in analyzing these images to identify patterns. Unlike traditional methods that require direct contact or visual examination, this approach is non-invasive, eliminating the need for physical interaction with the gingiva or reliance on subjective assessments.

A key aspect of this study is its focus on individuals with mouth breathing, a condition that complicates gingival health monitoring. By utilizing thermal imaging, the study successfully detected and classified gingival inflammation levels (healthy, mild, moderate, or severe) based on heat distribution patterns. Additionally, specific temperature thresholds were established to differentiate between healthy and inflamed gingival tissues in this patient group, representing a novel contribution to the field.

The developed AI system demonstrated high accuracy in identifying inflammation. This technology has the potential to facilitate earlier detection of gingival disease, even before clinical symptoms become evident. Furthermore, it offers a fast, painless, and reliable method for monitoring gingival health over time, enhancing accessibility and improving patient experience in dental care.

These findings suggest that the integration of thermal imaging and AI could significantly improve the diagnosis and management of gingival diseases. Future research could further refine this technology by expanding the sample size and optimizing analytical models to enhance accuracy and widespread applicability.

Conditions

  • Gingival Inflammation
  • Machine Learning
  • Thermal Imaging

Interventions

DIAGNOSTIC_TEST

Gingival Thermal Images

The degree of inflammation was evaluated using the Gingival Index

Sponsors & Collaborators

  • Gazi University

    lead OTHER

Principal Investigators

  • Zeynep Turgut Çankaya · Gazi University

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-07-30
Primary Completion
2025-01-01
Completion
2025-01-02

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06830161 on ClinicalTrials.gov