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Accuracy of an Artificial Intelligence-assisted Diagnostic System for Caries Diagnosis: a Prospective Multicenter Clinical Study

NCT06428344 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 220

Last updated 2024-07-10

No results posted yet for this study

Summary

This clinical trial was designed as a prospective, multicenter, multi-reader multi-case (MRMC), superiority, parallel-controlled study. Participants who met the trial criteria and signed the informed consent form were enrolled. The trial group involved diagnoses of caries on panoramic radiographs using an artificial intelligence-assisted diagnostic system, while the control group involved diagnoses made by dental practitioners specializing in operative dentistry and endodontics with five years of experience, who interpreted oral panoramic radiographs to determine the presence and severity of caries.

Conditions

  • Dental Caries
  • Artificial Intellegence
  • Diagnosis
  • Machine Learning

Sponsors & Collaborators

  • Zhejiang Provincial People's Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2026-12-01
Completion
2027-06-01

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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 NCT06428344 on ClinicalTrials.gov