18605780. DENTAL OBJECT CLASSIFICATION AND 3D MODEL MODIFICATION simplified abstract (Align Technology, Inc.)

DENTAL OBJECT CLASSIFICATION AND 3D MODEL MODIFICATION

Organization Name

Align Technology, Inc.

Inventor(s)

Mikhail Minchenkov of Zhukovsky (RU)

Ran Katz of Hod Hasharon (IL)

Pavel Agniashvili of Moscow (RU)

Chad Clayton Brown of Cary NC (US)

Jonathan Coslovsky of Rehovot (IL)

DENTAL OBJECT CLASSIFICATION AND 3D MODEL MODIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18605780 titled 'DENTAL OBJECT CLASSIFICATION AND 3D MODEL MODIFICATION

The abstract describes a system comprising an intraoral scanner and a computing device. The scanner generates intraoral scans of a dental site, which are then processed by the computing device using a trained machine learning model to classify points into different dental classes. A 3D model of the dental site is generated, and points are determined based on their dental class. Data for certain points are removed to create a modified virtual 3D model.

• Intraoral scanner used to generate scans of a dental site
• Computing device processes scans using machine learning to classify points into different dental classes
• 3D model of the dental site is created from the scans
• Points in the 3D model are determined based on their dental class
• Data for certain points are removed to generate a modified virtual 3D model

Potential Applications: - Dental diagnostics and treatment planning - Orthodontic treatment monitoring - Prosthodontics and restorative dentistry

Problems Solved: - Efficient and accurate dental site scanning - Automated classification of dental points - Creation of detailed 3D models for treatment planning

Benefits: - Improved accuracy in dental treatment planning - Time-saving in generating 3D models - Enhanced visualization for clinicians and patients

Commercial Applications: Title: Advanced Dental Imaging System for Precision Treatment Planning This technology can be used in dental clinics, orthodontic practices, and prosthodontic laboratories to enhance treatment planning processes and improve patient outcomes. The system can also be integrated into dental software for seamless workflow management.

Questions about the technology: 1. How does the trained machine learning model improve the classification of dental points? 2. What are the potential cost savings for dental practices implementing this system?

Original Abstract Submitted

A system includes an intraoral scanner and a computing device. The intraoral scanner generates intraoral scans of a dental site. The computing device processes the intraoral scans using a trained machine learning model to classify points of the intraoral scans into first points having a first dental class and second points having a second dental class; generates a 3D model of the dental site from the intraoral scans; determines first points of the 3D model having the first dental class based on the first points of the intraoral scans and second points of the virtual 3D model having the second dental class based on the second points of the intraoral scans; and removes data for a plurality of the first points of the virtual 3D model having the first dental class to generate a modified virtual 3D model.