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Related Experiment Video

Updated: Feb 10, 2026

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
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AI for diagnosing malocclusions from 3D dental models.

Imad Mohammed1, Subash Chandra Nayak2, Vasim Akram Shaik3

  • 1Department of Orthodontics, Cmai Medical Center, Uthman bin afan road, Al falah Riyadh, Saudi Arabia.

Bioinformation
|February 9, 2026
PubMed
Summary

Artificial intelligence (AI) shows high accuracy in diagnosing dental malocclusions using 3D models, matching expert orthodontists. This AI-assisted approach promises more objective and reliable orthodontic assessments.

Keywords:
Malocclusionartificial intelligencedeep learningdigital impressionsorthodontic diagnosis

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Area of Science:

  • Dentistry
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Diagnosing dental malocclusions is subjective and varies between orthodontists.
  • 3D dental models offer detailed anatomical information for diagnosis.

Purpose of the Study:

  • To assess the diagnostic reliability of AI algorithms in classifying malocclusions.
  • To compare AI performance against expert orthodontist assessments using 3D dental models.

Main Methods:

  • A convolutional neural network (CNN) was developed and trained on digital dental impressions.
  • The AI model's classification accuracy was statistically evaluated against diagnoses from expert orthodontists.

Main Results:

  • The AI algorithm demonstrated strong agreement with expert orthodontist diagnoses.
  • Clinically relevant consistency was observed between AI predictions and human expert evaluations.

Conclusions:

  • AI-assisted diagnostics can significantly enhance accuracy in orthodontic assessments.
  • AI has the potential to reduce interobserver variability and subjectivity in malocclusion diagnosis.