![]() A test set of 120 images was used to compare the AI models. The DCNN-based AI model was developed using training (1334 images) and validation (120 images) sets with a standard classification label for the individual images. A total of 1574 cephalometric images were included and classified based on the A-point-Nasion- (N-) point-B-point (ANB) angle (Class I being 0–4°, Class II > 4°, and Class III < 0°). Moreover, it significantly decreased the measurement time compared with the manual.This study aimed to investigate deep convolutional neural network- (DCNN-) based artificial intelligence (AI) model using cephalometric images for the classification of sagittal skeletal relationships and compare the performance of the newly developed DCNN-based AI model with that of the automated-tracing AI software. Cephalopoint is excellent software for accurate and precise Cephalometric measurements. All the variables calculated with the software technique exhibited a normal distribution. The results showed high repeatability and no significant difference between manual tracing and software techniques. Three tests were used to validate the measurements made: accuracy test, consisting of comparing three selected cases and reply 32 times using the manual and software technique measurement time test, consisted in obtaining the average time used to complete manual and software techniques of the previous test and statistical test, consisted of measuring and applying the statistical analysis of 42 random cases for each method only using the software technique. The study aimed to design free software Cephalopoint that applies vector algebra to perform the accuracy and precision of Cephalometric analysis. Much commercial software is created, but its high cost is unaffordable for some undergraduate students or low-income medical institutions sure, the best option is the use of open source software alternatives. Nowadays, efforts to develop computerized dental X-ray image Cephalometric analysis systems for clinical and education usages. Cephalometric analysis is an excellent instrument in clinical diagnosis, treatment, and recovery from surgery. ![]()
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