AIMC Topic: Tooth, Nonvital

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The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

Dento maxillo facial radiology Sep 12, 2022
OBJECTIVES: To determine the efficacy of a deep-learning (DL) tool in assisting dentists in detecting apical radiolucencies on periapical radiographs.
Humans Deep Learning Cone-Beam Computed Tomography Radiography Dentists Tooth, Nonvital
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Diagnostic accuracy of an artificial intelligence-based platform in detecting periapical radiolucencies on cone-beam computed tomography scans of molars.

Journal of dentistry Sep 1, 2025
OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based platform (Diagnocat) in detecting periapical radiolucencies (PARLs) in cone-beam computed tomography (CBCT) scans of molars. Specifically, we ...
Humans Artificial Intelligence Retrospective Studies Female Young Adult Adult Sensitivity and Specificity Male Middle Aged Adolescent ROC Curve Cone-Beam Computed Tomography Predictive Value of Tests Periapical Diseases Molar Tooth Root Tooth, Nonvital
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