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NCT06071338
A Decision Support System Based on Classification Algorithms for the Diagnosis of Periodontal Disease
trial testing Clinical Periodontal Examination in Periodontal Diseases in 250 participants. Status unknown.
30 December 2024
Quick facts
| Lead sponsor | Ministry of Health, Saudi Arabia |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 250 |
| Start date | 1 October 2023 |
| Primary completion | 30 December 2024 |
| Estimated completion | 30 December 2024 |
Drugs / interventions tested
- Clinical Periodontal Examination
Conditions studied
- Periodontal Diseases — all drugs for Periodontal Diseases →
Sponsor
Ministry of Health, Saudi Arabia
Who can join
18 and older, any sex, with Periodontal Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The study purposes For periodontal applications, such as diagnosing gingivitis and periodontal disease, artificial intelligence (AI) models have been developed; however, their accuracy and technological maturity are to be evolved. The applications of such technologies in the field of periodontics are walking baby steps worldwide. The Kingdom of Saudi Arabia is moving fast in technology adoption and implementation in different sectors. However, the healthcare sector, especially clinical-related, needs original research applied to Saudi subjects. The literature in the field of machine learning applications in dentistry is limited. Although AI models for periodontology applications are still being developed, they could serve as potent diagnostic instruments. The current study was planned to add to the current gap in the literature.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06071338
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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 NCT06071338 (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 Ministry of Health, Saudi Arabia
- Last refreshed: 6 October 2023
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/NCT06071338.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing