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OpenTrials
Completed

NCT Number: NCT07319221

Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study

to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.

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Key information

Age range

18 year–40 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Future University Dental Hospital

Cairo, Egypt

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

-

A- Inclusion criteria:

  • Patients must be medically free from any systemic disease that can affect root canal treatment.
  • Age range of the patients should be 18-40 with permanent mandibular second molars indicated for root canal treatment.
  • No sex predilection.
  • Patients must have good oral hygiene.
  • restorable teeth.
  • Positive patient"s acceptance for participating in the study.
  • Patients able to sign informed consent.

B- Exclusion criteria:

  • Lower second molars which are non-restorable, having large perforations, external root resorption, vertical root fracture, internal root resorption, grade 2/3 mobility, previous successful/non-successful root canal treatment
  • Pregnant women after taking detailed history and pregnancy test must be in the first visit.
  • Psychologically disturbed patients.

Teeth that have:

  • Periodontally affected with grade 2 or 3 mobility. 12
  • Not restorable teeth.
  • Abnormal anatomy and calcified canals.
  • Previous root canal treatment.

Treatment and study plan

AI

Procedure

Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT

CBCT

Procedure

CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software

Primary outcomes

  1. Number of root canals detected

    Time frame: within one year

    Detected by AI software

Sponsors and collaborators

Lead sponsor

Future University in Egypt

Other

Registry information

Acronym: AI

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Jan 6, 2026
Registry last updated
Jan 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.