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

NCT ID: NCT06258798

Last Updated: 2025-04-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1025 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-01-01

Study Completion Date

2024-11-01

Brief Summary

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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

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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.

Conditions

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Oral Health Dental Caries Periapical Diseases Tooth Loss

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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One group of patients (double gate)

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)

Taking a dental X-ray

Intervention Type RADIATION

Dental X-rays taken in patients with indications confirmed by a written referral.

Interventions

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Taking a dental X-ray

Dental X-rays taken in patients with indications confirmed by a written referral.

Intervention Type RADIATION

Eligibility Criteria

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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)
Minimum Eligible Age

11 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital of the Ministry of Interior, Kielce, Poland

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Maciej Sikora

Role: STUDY_CHAIR

Hospital of the Ministry of Interior, Wojska Polskiego 51, 25-375 Kielce, Poland

Locations

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Department of Maxillofacial Surgery

Kielce, , Poland

Site Status

Countries

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Poland

References

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Turosz N, Checinska K, Checinski M, Lubecka K, Blizniak F, Sikora M. Artificial Intelligence (AI) Assessment of Pediatric Dental Panoramic Radiographs (DPRs): A Clinical Study. Pediatr Rep. 2024 Sep 11;16(3):794-805. doi: 10.3390/pediatric16030067.

Reference Type DERIVED
PMID: 39311330 (View on PubMed)

Other Identifiers

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CT/2023/1

Identifier Type: -

Identifier Source: org_study_id

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