Publications by authors named "B Baldini"
Article Synopsis
- This study aimed to validate a novel AI tool that combines dental images from two different sources, cone beam computed tomography (CBCT) and intraoral scanners (IOS), to create accurate tooth models.
- The evaluation involved analyzing a dataset from 30 patients, calculating various accuracy metrics for the AI-generated models, and comparing them to both expert manual methods and existing segmentation approaches.
- Results indicated that the AI-based approach achieved high accuracy similar to manual methods but was significantly faster, suggesting it could improve efficiency in dental practices.
Background: Malocclusions are usually diagnosed around 3-4 years of age according to specific criteria. The purpose of this protocol is to validate a method to understand how the type of delivery can influence the development of malocclusions.
Materials: This pilot study, conducted at the Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico of Milan, evaluated the relationship between the type of delivery, fetal presentation, and the presence of malocclusions in children.
Background: This article analyzes differences in microbiological parameters and periodontal health conditions among three patient groups: those undergoing conventional orthodontic treatment with fixed appliances, patients undergoing orthodontic treatment with clear aligners, and a control group receiving no treatment.
Materials And Methods: In this study, 60 patients were enrolled. The microbiological analysis employed a qualitative and semi-quantitative methodology of bacterial morphotype analysis.
Article Synopsis
- The study focused on improving orthodontic diagnosis by comparing 3D facial soft tissue analysis with traditional CBCT imaging, aiming to minimize radiation exposure while enhancing patient evaluations.!
- Conducted over three years, the study involved simultaneous CBCT and 3D facial scans, analyzing key measurement points and establishing correlations between the two imaging methods.!
- Results showed that while there is a close correlation in angular measurements, linear measurements had lower coincidence, suggesting further research is needed to fully understand the relationship between soft and hard tissues in orthodontics.!
Objectives: The aim of the present systematic review and meta-analysis is to assess the accuracy of automated landmarking using deep learning in comparison with manual tracing for cephalometric analysis of 3D medical images.
Methods: PubMed/Medline, IEEE Xplore, Scopus and ArXiv electronic databases were searched. Selection criteria were: ex vivo and in vivo volumetric data images suitable for 3D landmarking (Problem), a minimum of five automated landmarking performed by deep learning method (Intervention), manual landmarking (Comparison), and mean accuracy, in mm, between manual and automated landmarking (Outcome).