NCT06071338

A Decision Support System Based on Classification Algorithms for the Diagnosis of Periodontal Disease

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 250 (estimated)
• Sponsor: Ministry of Health, Saudi Arabia · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

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.

Detailed description

A cross-sectional study design will be applied. Two hundred fifty patients will be evaluated by an experienced periodontist and used as input variables. The final diagnosis output will be generated by considering relevant information from the patient's medical history, clinical dental examination, and radiographic exam. Of the sample of 250 patients, 20% of the participants will be assigned randomly to the test group, while the rest will be assigned to the training group before feeding it to the algorithms. 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.

Conditions

• Periodontal Diseases

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Clinical Periodontal Examination	No details will be published from the clinical assessment.

Timeline

• Start date: 2023-10-01
• Primary completion: 2024-12-30
• Completion: 2024-12-30
• First posted: 2023-10-06
• Last updated: 2023-10-06