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.
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 Type
OBSERVATIONAL
Enrollment
250
No details will be published from the clinical assessment.
Age
\<30, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, \>80
Time frame: One time measure; baseline during periodontal clinical examination.
Gender
Male; Female.
Time frame: One time measure; baseline during periodontal clinical examination.
Marital statue
Married, widowed, divorced, never married
Time frame: One time measure; baseline during periodontal clinical examination.
Education
\< secondary school, secondary school, graduate or equivalent, some college or associates degree, College graduate or higher
Time frame: One time measure; baseline during periodontal clinical examination.
Physical Activities
Light, Moderate, Heavy
Time frame: One time measure; baseline during periodontal clinical examination.
Bleeding on Probing
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
Gingival Index
Percentage
Time frame: One time measure; baseline during periodontal clinical examination.
Plaque Index
Percentage
Time frame: One time measure; baseline during periodontal clinical examination.
Periodontal Probing Depth
PPD at the site of greatest loss (number)
Time frame: One time measure; baseline during periodontal clinical examination.
Recession Type
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
Clinical Attachment Loss
CAL at the site of greatest loss (number)
Time frame: One time measure; baseline during periodontal clinical examination.
Radiographic Bone Loss
RBL at the site of greatest loss (percentage)
Time frame: One time measure; baseline during periodontal clinical examination.
Tooth Mobility
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
Missing Teeth
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
Furcation Involvement
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
Diabetes
Healthy, \<7% HbA1c, ≥7% HbA1c
Time frame: One time measure; baseline during periodontal clinical examination.
Smoking
None, \<10 cig/day, ≥10cig/day
Time frame: One time measure; baseline during periodontal clinical examination.
Body Mass Index
Underweight, Healthy, Overweight, Obese
Time frame: One time measure; baseline during periodontal clinical examination.
Cardiovascular Disease
Yes; No
Time frame: One time measure; baseline during periodontal clinical examination.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.