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Accuracy of an AI-clinical Knowledge-based Hybrid System for Detecting Periodontitis in OPG Images

NCT06306677 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2024-03-13

No results posted yet for this study

Summary

Periodontitis is highly prevalent and rarely detected and treated in the earlier stages of the disease. Orthopantomography (OPG) is the most frequently taken dental radiograph around the world, and its systematic screening may contribute to early detection of periodontitis and access to the needed level of care. The investigators' recent study initially developed an AI-clinical knowledge-based system for automatic periodontitis diagnosis and indicated good performance for differentiating stage II-IV periodontitis. This cross-sectional diagnostic study aims to compare the diagnostic accuracy of this AI-clinical knowledge-based hybrid system (Index test) with human experts (reference test) for differentiating stage II-IV periodontitis using the OPG images obtained from different 4 centers around the world.

Conditions

  • Periodontitis
  • Periodontal Diseases

Interventions

DIAGNOSTIC_TEST

AI-clincial-based hybrid system for radiographic image analysis

The Index test is a novel AI-clinical-based hybrid system for radiographic image analysis. Its diagnostic performance will be compared to the reference represented by a panel of experts.

Sponsors & Collaborators

  • ShanghaiTech University

    collaborator OTHER

  • University of Roma La Sapienza

    collaborator OTHER

  • The University of Hong Kong

    collaborator OTHER

  • Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University

    lead OTHER

Principal Investigators

  • Maurizio Tonetti · Shanghai Ninth People Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-03-12
Primary Completion
2024-08-01
Completion
2024-12-31

Countries

  • China
  • Hong Kong
  • Italy

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 NCT06306677 on ClinicalTrials.gov