AIMC Topic: Cleft Lip
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Dr. ChatGPT: Utilizing Artificial Intelligence in Surgical Education.
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
Aug 7, 2023
OBJECTIVE: This study sought to explore the unexamined capabilities of ChatGPT in describing the surgical steps of a specialized operation, the Fisher cleft lip repair.
Using a New Deep Learning Method for 3D Cephalometry in Patients With Cleft Lip and Palate.
The Journal of craniofacial surgery
Mar 22, 2023
Deep learning algorithms based on automatic 3-dimensional (D) cephalometric marking points about people without craniomaxillofacial deformities has achieved good results. However, there has been no previous report about cleft lip and palate. The purp...
Genetic Risk Assessment of Nonsyndromic Cleft Lip with or without Cleft Palate by Linking Genetic Networks and Deep Learning Models.
International journal of molecular sciences
Feb 25, 2023
Recent deep learning algorithms have further improved risk classification capabilities. However, an appropriate feature selection method is required to overcome dimensionality issues in population-based genetic studies. In this Korean case-control st...
Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system.
Scientific reports
Aug 6, 2021
Although panoramic radiography has a role in the examination of patients with cleft alveolus (CA), its appearances is sometimes difficult to interpret. The aims of this study were to develop a computer-aided diagnosis system for diagnosing the CA sta...
3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learning-based CBCT image auto-segmentation.
Orthodontics & craniofacial research
Mar 25, 2021
OBJECTIVE: This study aimed to quantify the 3D asymmetry of the maxilla in patients with unilateral cleft lip and palate (UCP) and investigate the defect factors responsible for the variability of the maxilla on the cleft side using a deep-learning-b...
Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft.
Genomics, proteomics & bioinformatics
Dec 19, 2018
The isolated type of orofacial cleft, termed non-syndromic cleft lip with or without cleft palate (NSCL/P), is the second most common birth defect in China, with Asians having the highest incidence in the world. NSCL/P involves multiple genes and com...
Cleft Skeletal Asymmetry: Asymmetry Index, Classification and Application.
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
Dec 14, 2017
OBJECTIVE: To quantitatively measure the extent of 3D asymmetry of the facial skeleton in patients with unilateral cleft lip and palate (UCLP) using an asymmetry index (AI) approach, and to illustrate the applicability of the index in guiding and mea...
AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.
The journal of evidence-based dental practice
Jun 1, 2025
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct...
Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip.
Plastic and reconstructive surgery
Jul 1, 2021
BACKGROUND: Despite the wide range of cleft lip morphology, consistent scales to categorize preoperative severity do not exist. Machine learning has been used to increase accuracy and efficiency in detection and rating of multiple conditions, yet it ...
Cleft Lip
Photography
Counseling
Rhinoplasty
Nose
Automated Facial Recognition
Datasets as Topic
Preoperative Period
Anatomic Landmarks
Feasibility Studies
Remote Consultation
Humans
Clinical Decision-Making
Image Processing, Computer-Assisted
Mobile Applications
Severity of Illness Index
Deep Learning
CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Cleft lip and palate is the most common congenital malformation in oral and maxillofacial region. As a kind of facial plastic surgery, the most important factor for the success of cleft lip and palate repair surgery is the design of surgical markers ...
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