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NCT06760104
Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children
trial testing Dental Plaque Detection Using AI Models in Dental Plaque in 323 participants. Not yet recruiting.
30 December 2025
Quick facts
| Lead sponsor | Naema Ahmed |
|---|---|
| Status | Not yet recruiting |
| Study type | OBSERVATIONAL |
| Enrollment | 323 |
| Start date | 1 January 2025 |
| Primary completion | 30 December 2025 |
| Estimated completion | 30 December 2025 |
| Sites | 1 location across Egypt |
Drugs / interventions tested
- Dental Plaque Detection Using AI Models
Conditions studied
- Dental Plaque — all drugs for Dental Plaque →
Sponsor
Naema Ahmed
Who can join
Adults 7 to 12, any sex, with Dental Plaque. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This diagnostic accuracy study aims to evaluate the effectiveness of various artificial intelligence models in detecting dental plaque from intraoral images compared to clinical assessments performed by dentists among children. The study seeks to determine the accuracy, sensitivity, specificity, and overall performance of AI technologies in identifying dental plaque. study study Design: Observational study
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06760104
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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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 NCT06760104 (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 Naema Ahmed
- Last refreshed: 6 January 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/NCT06760104.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing