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

Not yet recruiting

• Conditions: Periodontal Diseases

• Registration Number: NCT06071338
• Lead Sponsor: Ministry of Health, Saudi Arabia

Brief 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.

Study Timeline

• Study First Submitted: 2023-09-22
• Status Verified: 2023-10
• Study Start: 2023-10-01
• Study First Submitted QC: 2023-10-04
• Last Update Submitted: 2023-10-04
• Study First Posted: 2023-10-06
• Last Update Posted: 2023-10-06
• Primary Completion: 2024-12-30
• Study Completion: 2024-12-30

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 250

Inclusion Criteria

• age 18 or more
• no periodontal treatment has been done at least 6 months prior to the enrollment
• seeking periodontal treatment

Exclusion Criteria

• refuse to volunteer in the study

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Gender	One time measure; baseline during periodontal clinical examination.	Male; Female.
Body Mass Index	One time measure; baseline during periodontal clinical examination.	Underweight, Healthy, Overweight, Obese
Age	One time measure; baseline during periodontal clinical examination.	\<30, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, \>80
Marital statue	One time measure; baseline during periodontal clinical examination.	Married, widowed, divorced, never married
Plaque Index	One time measure; baseline during periodontal clinical examination.	Percentage
Cardiovascular Disease	One time measure; baseline during periodontal clinical examination.	Yes; No
Physical Activities	One time measure; baseline during periodontal clinical examination.	Light, Moderate, Heavy
Radiographic Bone Loss	One time measure; baseline during periodontal clinical examination.	RBL at the site of greatest loss (percentage)
Diabetes	One time measure; baseline during periodontal clinical examination.	Healthy, \<7% HbA1c,; ≥7% HbA1c
Recession Type	One time measure; baseline during periodontal clinical examination.	Yes; No
Missing Teeth	One time measure; baseline during periodontal clinical examination.	Yes; No
Education	One time measure; baseline during periodontal clinical examination.	\< secondary school, secondary school, graduate or equivalent, some college or associates degree, College graduate or higher
Bleeding on Probing	One time measure; baseline during periodontal clinical examination.	Yes; No
Gingival Index	One time measure; baseline during periodontal clinical examination.	Percentage
Periodontal Probing Depth	One time measure; baseline during periodontal clinical examination.	PPD at the site of greatest loss (number)
Clinical Attachment Loss	One time measure; baseline during periodontal clinical examination.	CAL at the site of greatest loss (number)
Tooth Mobility	One time measure; baseline during periodontal clinical examination.	Yes; No
Furcation Involvement	One time measure; baseline during periodontal clinical examination.	Yes; No
Smoking	One time measure; baseline during periodontal clinical examination.	None, \<10 cig/day, ≥10cig/day