Reliability of the AI-Assisted Assessment of the Proximity of the Root Apices to Mandibular Canal

Overview

Journal J Clin Med

Specialty General Medicine

Date 2024 Jun 27

PMID 38930132

Authors

Wojciech Kazimierczak

Natalia Kazimierczak

Kamila Kedziora

Marta Szczesniak

Zbigniew Serafin

Affiliations

Soon will be listed here.

Abstract

: This study evaluates the diagnostic accuracy of an AI-assisted tool in assessing the proximity of the mandibular canal (MC) to the root apices (RAs) of mandibular teeth using computed tomography (CT). : This study involved 57 patients aged 18-30 whose CT scans were analyzed by both AI and human experts. The primary aim was to measure the closest distance between the MC and RAs and to assess the AI tool's diagnostic performance. The results indicated significant variability in RA-MC distances, with third molars showing the smallest mean distances and first molars the greatest. Diagnostic accuracy metrics for the AI tool were assessed at three thresholds (0 mm, 0.5 mm, and 1 mm). : The AI demonstrated high specificity but generally low diagnostic accuracy, with the highest metrics at the 0.5 mm threshold with 40.91% sensitivity and 97.06% specificity. : This study underscores the limited potential of tested AI programs in reducing iatrogenic damage to the inferior alveolar nerve (IAN) during dental procedures. Significant differences in RA-MC distances between evaluated teeth were found.

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