Detection of Proximal Caries in Bitewing Radiography Using Artificial Intelligence

NCT07404007 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2026-02-11

No results posted yet for this study

Summary

Using a sequence of bitewing radiographs, Artificial intelligence assists in identifying interproximal caries. For the identification of dental caries in bitewing, periapical, and panoramic radiographs, a trained deep learning network will be created This study aimed to investigate the reliability of a novel Artificial Intelligence model based on deep learning in the detection of Proximal Caries using Digital Bitewing Radiographs. (BW).

Conditions

  • Proximal Caries
  • Tooth Caries

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence (AI): Deep learning that is applied in Diagnosis of the proximal Caries

Artificial intelligence was used as a deep-learning diagnostic tool to detect proximal caries on digital bitewing radiographs. The system analyzed images and generated probability scores and visual markers for suspected lesions. Its performance was compared with expert examiner diagnoses as the reference standard. AI results were used for evaluation only and did not influence patient treatment decisions.

DIAGNOSTIC_TEST

Manual annotation of Digital Bitewing Radiograph by human experts

Digital bitewing radiographs were manually annotated by calibrated human experts to identify the presence and location of proximal caries. Annotations were performed using standardized diagnostic criteria and dedicated imaging software to mark suspected lesions. These expert markings served as the reference standard for comparison with the artificial intelligence outputs. Inter-examiner agreement was assessed, and disagreements were resolved by consensus.

Sponsors & Collaborators

  • Ain Shams University

    collaborator OTHER
  • Cairo University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-15
Primary Completion
2025-09-15
Completion
2025-12-01

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07404007 on ClinicalTrials.gov