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NCT06830161
Artificial Intelligence (AI)-Powered Thermal Imaging for Gingival Inflammation Detection
trial testing Gingival Thermal Images in Gingival Inflammation in 20 participants. Completed in 2 January 2025.
1 January 2025
Quick facts
| Lead sponsor | Gazi University |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 20 |
| Start date | 30 July 2024 |
| Primary completion | 1 January 2025 |
| Estimated completion | 2 January 2025 |
| Sites | 1 location across Turkey (Türkiye) |
Drugs / interventions tested
- Gingival Thermal Images
Conditions studied
- Gingival Inflammation — all drugs for Gingival Inflammation →
- Machine Learning — all drugs for Machine Learning →
- Thermal Imaging — all drugs for Thermal Imaging →
Sponsor
Gazi University
Who can join
Adults 18 to 25, any sex, with Gingival Inflammation or Machine Learning. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06830161
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Other Gazi University trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06830161 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Gazi University
- Last refreshed: 17 February 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06830161.
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