The Use of Artificial Intelligence in the Dental X-rays Analysis

Completed

• Conditions: Tooth Loss; Oral Health; Dental Caries; Periapical Diseases
• Interventions: Radiation: Taking a dental X-ray

• Registration Number: NCT06258798
• Lead Sponsor: Hospital of the Ministry of Interior, Kielce, Poland

Brief Summary

This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and missing teeth, taking into account the location.

Detailed Description

This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and missing teeth, considering the location. Patients with indications for dental X-ray confirmed by a written referral and with permanent dentition will participate in the study. Then, the X-rays will be analyzed by the dentists and the AI-based software after the data has been anonymized. The results will be compared to determine the AI algorithm's sensitivity, specificity, and precision.

Study Timeline

• Study Start: 2024-01-01
• Study First Submitted: 2024-01-25
• Study First Submitted QC: 2024-02-12
• Study First Posted: 2024-02-14
• Primary Completion: 2024-05-01
• Study Completion: 2024-11-01
• Status Verified: 2025-03
• Last Update Submitted: 2025-03-27
• Last Update Posted: 2025-04-01

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 1025

Inclusion Criteria

• Indications for dental X-ray confirmed by a written referral from the dentist or physician (both screening tests and tests performed for treatment purposes were allowed)
• Permanent dentition (after exfoliation is completed)

Exclusion Criteria

• Patients with mixed dentition (exfoliation has not finished)

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
One group of patients (double gate)	Taking a dental X-ray	Study design: * Direction of data collection: retrospective * Number of gates (sets of eligibility criteria): double gate (AI, human) * Participant sampling method: Consecutive * Method of allocating participants to index tests: Each participant received all index tests * Number of reference standards: Single test standard * Limited verification: Full verification (not limited)

Primary Outcome Measures

Name	Time	Method
Sensitivity	Up to 6 weeks	Sensitivity (also known as recall or true positive rate) is the proportion of actual positive cases that are correctly predicted as positive. It evaluates the performance of an AI algorithm. Formally it can be calculated with the following equation: Sensitivity = TP / (TP+FN); True positive (TP) - a test result that correctly indicates the presence of a condition or characteristic; False Negative (FN) - a test result which wrongly indicates that a particular condition or characteristic is absent
Specificity	Up to 6 weeks	Specificity (also known as true negative rate) - is the proportion of actual negative cases that are correctly predicted as negative. It evaluates the performance of an AI algorithm. Formally it can be calculated by the equation below: Specificity = TN / (TN + FP); True negative (TN) - a test result that correctly indicates the absence of a condition or characteristic; False positive (FP) - a test result which wrongly indicates that a particular condition or characteristic is present
Precision of the AI algorithm	Up to 6 weeks	Precision is an evaluation metric used to assess the performance of machine learning algorithm for AI. It measures how accurate the algorithm is. We will use the number of true positives (TP) and false positives (FP) to calculate precision using the following formula: Precision = TP / (TP + FP); True positive (TP) - a test result that correctly indicates the presence of a condition or characteristic; False positive (FP) - a test result that wrongly indicates that a particular condition or characteristic is present

Trial Locations

Locations (1)

Department of Maxillofacial Surgery; 🇵🇱 Kielce, Poland