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Comparative study on the results of orthodontic diagnostics by using algorithms generated by Artificial Intelligence
Marius Hack1, Bogdan Drăgulin2, Ludmila Hack3
1G.E Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania.
Medicine and Pharmacy Reports
|May 15, 2024
Summary
Artificial intelligence (AI) algorithms significantly improve tooth position detection in orthodontics compared to traditional software. These advanced AI methods offer greater accuracy and stability in analyzing orthodontic anomalies.
Area of Science:
- Orthodontics
- Artificial Intelligence
- Medical Software
Background:
- Technological advancements are transforming orthodontic diagnosis and prediction.
- Artificial intelligence (AI) offers new capabilities for analyzing dental anomalies.
Purpose of the Study:
- To compare the efficacy of AI algorithms versus classical medical software in detecting tooth position and shape in orthodontic anomalies.
- To evaluate the diagnostic accuracy and stability of AI in orthodontic analysis.
Main Methods:
- A cohort of 45 patients with Angle Class I maxillary-dental anomalies was studied.
- Two algorithm types were employed: modern AI algorithms and classical software algorithms.
- Facial axes, tooth contours, incisal curves, and median lines were analyzed.
Main Results:
- AI algorithms demonstrated a higher level of accuracy in detecting tooth positions compared to traditional software.
- Complex AI algorithms exhibited superior detection capabilities and enhanced analytical stability.
Conclusions:
- AI, particularly machine learning, presents new avenues for guiding orthodontic treatments.
- AI algorithms offer improved precision and reliability in orthodontic diagnosis and treatment planning.
