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A retrospective longitudinal assessment of artificial intelligence-assisted radiographic prediction of lower third molar eruption

Shivi Chopra, Myrthel Vranckx, Anna Ockerman, Peter Östgren, Carina Krüger-Weiner, Daniel Benchimol, Sohaib Shujaat, Reinhilde Jacobs

Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)

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Bibliographic Details
Title A retrospective longitudinal assessment of artificial intelligence-assisted radiographic prediction of lower third molar eruption
Authors Shivi Chopra, Myrthel Vranckx, Anna Ockerman, Peter Östgren, Carina Krüger-Weiner, Daniel Benchimol, Sohaib Shujaat, Reinhilde Jacobs
Publication Year
2024
Source
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Description
Abstract Prediction of lower third molar eruption is crucial for its timely extraction. Therefore, the primary aim of this study was to investigate the prediction of lower third molar eruption and its uprighting with the assistance of an artificial intelligence (AI) tool. The secondary aim was identifying the incidence of fully erupted lower third molars with hygienic cleansability. In total, 771 patients having two panoramic radiographs were recruited, where the first radiograph was acquired at 8–15 years of age (T1) and the second acquisition was between 16 and 23 years (T2). The predictive model for third molar eruption could not be obtained as few teeth reached full eruption. However, uprighting model at T2 showed that in cases with sufficient retromolar space, an initial angulation of
Document Type
article
Language
English
Publisher Information
Nature Portfolio, 2024.
Subject Terms
Medicine, Science
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