Related Experiment Video
Updated: Jun 24, 2026
09:10
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
1.7K
Artificial Intelligence for Tooth Detection in Cleft Lip and Palate Patients.
Can Arslan1, Nesli Ozum Yucel1, Kaan Kahya1
1Department of Orthodontics, Faculty of Dentistry, Yeditepe University, Istanbul 34728, Turkey.
Diagnostics (Basel, Switzerland)
|January 8, 2025
Summary
Artificial intelligence (AI) software shows high accuracy in detecting and numbering teeth for cleft lip and palate patients. Further refinement is needed for the cleft region, especially on the left side, to improve clinical application.
Area of Science:
- Dentistry
- Medical Imaging
- Artificial Intelligence
Background:
- Cleft lip and palate (CLP) present unique dental anomalies complicating accurate tooth identification.
- Effective treatment planning for CLP patients relies on precise dental anomaly detection and numbering.
- Artificial intelligence (AI) offers potential for enhanced diagnostic precision in dentistry, but its use in CLP populations is limited.
Purpose of the Study:
- To evaluate the performance of AI software in detecting and numbering teeth in CLP patients.
- To assess the sensitivity, precision, and specificity of AI for dental identification in this cohort.
- To identify specific anatomical regions or demographic groups where AI performance may be limited.
Main Methods:
- Analysis of 100 panoramic radiographs from patients aged 6-15 years using AI software.
- Calculation of sensitivity, precision, and specificity with ground truth from four orthodontists.
- Comparison of AI performance across age and gender, focusing on challenging anatomical areas.
Main Results:
- AI system achieved high overall sensitivity (0.98 ± 0.03) and precision (0.96 ± 0.04).
- No significant age-related performance differences were observed (p > 0.05).
- Challenges identified in the maxillary left region, with higher false positive/negative rates, correlating with unilateral left cleft prevalence.
Conclusions:
- AI software is effective for dental detection and numbering in CLP patients.
- Further AI refinement is necessary for improved accuracy in the cleft region, particularly the left side.
- Addressing AI limitations can enhance its clinical utility for complex craniofacial cases.
Related Concept Videos
01:21Tooth Anatomy
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or grinding food.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or grinding food.
01:26Assessment of the Mouth
A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.