Artificial intelligence in intact tooth model creating and strength testing

Toneva Stojmenova, Verica and Naskova, Sanja and Panajotu, Risto and Atanasova, Sandra and Nikolovski, Bruno and Arsovski, Ljupka and Toneva Nikolova, Aleksandra and Kovacevska, Ivona and Popovska, Lidija and Kokalanov, Vasko (2025) Artificial intelligence in intact tooth model creating and strength testing. International Dental Journal, 75 (6): CA4895. pp. 68-69. ISSN 1875-595X

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Abstract

Aim or purpose: Artificial intelligence (AI) is becoming an increasingly common, widely used tool for intact tooth 3 modeling from CBCT scans. Also, AI could be used for biomechanics testing, with high value of accurate.
Materials and methods: CBCT of the patient was made. After exporting the DICOM format of CBCT in 3D Slicer the upper left central incisor was isolated as volumetric finite element model from the maxilla and then its mesh was corrected and refined in 3D Slicer and Meshmixer. The next
step was to convert the exported ASCII code from Mesh mixer into appropriate ASCII code for SOFiSTiK with the help of artificial intelligence. The 3D intact tooth model was made with all biological tissue properties. With that, the volumetric model was ready and subjected to strength testing with SOFiSTiK.
Results: The fracture resistance testing was conducted in SOFiSTiK. The results have shown that the intact tooth has a high value of strength, around 1350 N. This value is near to value of in vitro testing with Universal Testing Machine.
Conclusions: Today, in vitro fracture resistance studies have been totally replaced with artificial intelligence algorithms studies. This way of testing the fracture strength could save moneyandtimewithvalueofaccurate asinvitro testing.

Key Words: finite element model, finite element analysis, artificial intelligence, intact tooth, strength testing.

Item Type: Article
Impact Factor Value: 3.7
Subjects: Medical and Health Sciences > Basic medicine
Medical and Health Sciences > Clinical medicine
Medical and Health Sciences > Health biotechnology
Medical and Health Sciences > Health sciences
Medical and Health Sciences > Other medical sciences
Divisions: Faculty of Medical Science
Depositing User: Bruno Nikolovski
Date Deposited: 10 Dec 2025 09:13
Last Modified: 10 Dec 2025 09:13
URI: https://eprints.ugd.edu.mk/id/eprint/36997

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