# In vitro evaluation of AI-assisted CBCT analysis for detecting additional canals in mandibular premolars

## TL;DR

This study shows that AI can help detect extra canals in teeth more accurately and quickly than specialists.

## Contribution

The novel contribution is demonstrating AI's superior performance in detecting additional canals in mandibular premolars using CBCT.

## Key findings

- AI system showed higher sensitivity (86.8%) and accuracy (90.0%) than specialists.
- AI interpretation time was less than three seconds per case.
- AI-based CBCT analysis is a rapid and reliable tool for endodontic planning.

## Abstract

Failure to detect additional canals in mandibular premolars can compromise endodontic treatment outcomes. Hence, this in vitro
study compared an artificial intelligence-assisted CBCT analysis system with endodontic specialists for detecting additional canals, using
micro-CT as the gold standard. One hundred and fifty mandibular premolars were analyzed. The AI system demonstrated higher sensitivity
(86.8%) and accuracy (90.0%) than specialists, with comparable specificity and interpretation time of less than three seconds per case.
Thus, AI-based CBCT analysis appears to be a rapid and reliable adjunct for improved canal detection and preoperative endodontic
planning.

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Source: https://tomesphere.com/paper/PMC13018460