Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.

Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.

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The objective of this study was to develop a predictive model using supervised machine learning to determine sex based on the dimensions of the hyoid bone. Lateral cephalometric radiographs of 495 patients were analyzed, collecting the horizontal and vertical dimensions of the hyoid bone, as well as...

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Main Authors: Aline Xavier Ferraz, Ângela Graciela Deliga Schroder, Flavio Magno Gonçalves, Erika Calvano Küchler, Rosane Sampaio Santos, Bianca Simone Zeigelboim, Ana Paula Testa Pezzin, Karinna Verissimo Taveira, Allan Abuabara, Flares Baratto-Filho, Cristiano Miranda de Araujo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0310811
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https://doi.org/10.1371/journal.pone.0310811

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