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The Accuracy of Detection of Artificial Intelligence Second Mesio-buccal Canal of Maxillary First Molars on CBCT Images

NCT05340140 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2022-04-21

No results posted yet for this study

Summary

CAD systems are computer applications that assist in the detection and/or diagnosis of diseases by providing an unbiased "second opinion" to the image interpreter, aiming at improving accuracy and reducing time for analysis. With the rapid growth of Deep Learning (DL) algorithms in image-based applications, CAD systems can now be trained by DL to provide more advanced capability (ie, the capability of artificial intelligence \[AI\]) to best assist clinicians.

Conditions

  • Artificial Intelligence

Interventions

DIAGNOSTIC_TEST

deep learning model

deep learning model developed by computer science expert and based on convolution neural network , and trained by our datasets.

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Principal Investigators

  • Enas Anter, Ph.D · Cairo University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-05-31
Primary Completion
2023-09-30
Completion
2023-10-31

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 NCT05340140 on ClinicalTrials.gov