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Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

Francesca De Angelis¹, Nicola Pranno¹, Alessio Franchina²

¹Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta 6, 00161 Rome, Italy.

International Journal of Environmental Research and Public Health

|February 15, 2022

Summary

Artificial intelligence (AI) in dentistry improves diagnostic accuracy and efficiency. This study validates an AI tool for analyzing panoramic X-rays, enhancing dental care and reducing errors.

Keywords:

accuracy artificial intelligence dental radiology digital dentistry machine learning

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Area of Science:

Dentistry
Artificial Intelligence
Medical Diagnostics

Background:

Artificial intelligence (AI) is increasingly adopted in public health for faster, more accurate diagnoses.
AI aims to reduce healthcare costs and medical errors through technological advancements.

Purpose of the Study:

To analyze the application and credibility of a novel AI diagnostic method in dentistry.
To assess the effectiveness of AI in improving dental work and patient care.

Main Methods:

120 panoramic X-rays (OPGs) were randomly selected from Sapienza University of Rome.
The Apox software was used to analyze OPGs, automatically identifying dental formulas, implants, crowns, fillings, and root remnants.
A descriptive analysis of categorical variables was performed using absolute and relative frequencies.

Main Results:

The AI tool demonstrated high accuracy with a high true positive rate and a low false positive rate.
Overall sensitivity was 0.89, and overall specificity was 0.98, indicating reliable diagnostic performance.
The analysis identified 2,195 true positives, 8,908 true negatives, 132 false positives, and 283 false negatives.

Conclusions:

The study highlights advancements in AI-driven dentistry.
The AI diagnostic method shows significant potential for improving dentists' workflow and patient outcomes.
The credibility and application of this new diagnostic tool were effectively analyzed.