Faculty of Dentistry, Cairo University
Cairo, Cairo Governorate, Egypt
NCT Number: NCT07587060
Root canal preparation in endodontics poses significant challenges, particularly in curved canals of mandibular molars, where accurate preoperative assessment using CBCT imaging is crucial to avoid iatrogenic errors and improve treatment outcomes. This study aims to develop and evaluate the diagnostic accuracy of a deep learning model for analyzing root canal curvature angles in mandibular molars from CBCT scans, compared to human expert evaluations. The model will leverage advanced AI techniques to segment and measure curvatures objectively, addressing limitations in manual interpretation, potentially standardizing case difficulty assessments and aiding clinical decision-making.
Trial opening soon.
Get Notified18 year–65 year
All sexes
Observational
Cairo, Cairo Governorate, Egypt
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: June 2026 to September 2027
Curvature analysis classified according to its severity into 3 categories: "10 degrees or less"; as mild, "between 10 to 30 degrees"; as moderate and "30 degrees or more"; as severe curvature.
Contact information is provided by the study sponsor or research team.
Cairo University
Other
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