Status:
UNKNOWN
The Accuracy of Detection of Artificial Intelligence Second Mesio-buccal Canal of Maxillary First Molars on CBCT Images
Lead Sponsor:
Cairo University
Conditions:
Artificial Intelligence
Eligibility:
All Genders
18+ years
Brief 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 red...
Detailed Description
Countless studies and discussions have been based on the existence of a second canal in the mesiobuccal (MB) root of the maxillary molars , since it is strongly believed that one of the foremost reaso...
Eligibility Criteria
Inclusion
- • CBCT scans showing erupted maxillary 1st molar.
- Vovel size not exceeding 0.1mm.
- Maxillary molars showing complete root formation.
- Carious or Non-carious tooth.
Exclusion
- • Maxillary first molars with developmental anomalies, external or internal root resorption, root canal calcification, previous root canal treatment, post restorations, and/or root caries.
- CBCT images of sub-optimal quality or artifacts / high scatter interfering with proper assessment.
Key Trial Info
Start Date :
May 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
October 1 2023
Estimated Enrollment :
50 Patients enrolled
Trial Details
Trial ID
NCT05340140
Start Date
May 1 2022
End Date
October 1 2023
Last Update
April 21 2022
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Faculty of dentistry cairo university
Cairo, Egypt, 12611