Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate

Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate

AimThe study aimed to determine the mid-palatal suture (MPS) maturation stages and to develop a binary logistic regression model to predict the possibility of surgical or non-surgical rapid maxillary expansion (RME) in children with unilateral cleft lip and palate (UCLP).MethodsA retrospective case...

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Bibliographic Details
Main Authors: Mohamed Zahoor Ul Huqh, Johari Yap Abdullah, Adam Husein, Matheel AL-Rawas, Wan Muhamad Amir W. Ahmad, Nafij Bin Jamayet, Mohammad Khursheed Alam, Mohd Rosli Bin Yahya, Siddharthan Selvaraj, Abedelmalek Kalefh Tabnjh
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Dental Medicine
Subjects:
mid-palatal suture
logistic regression
rapid maxillary expansion
neural network
cleft lip and palate
Online Access:https://www.frontiersin.org/articles/10.3389/fdmed.2025.1530372/full
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https://www.frontiersin.org/articles/10.3389/fdmed.2025.1530372/full

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