The patent “Enhanced Techniques for Determination of Dental Margins in Intraoral Scans” covers a machine learning process applied in Smart Margin and Prep Assess, the company’s restoration fabrication solutions.
“The vast majority of restorations — 80 percent or more — are suboptimal to one degree or another, but 3D convolutional neural network algorithms have proved exceptionally effective in tackling the root causes,” said Cambron Carter, Pearl chief technology officer and co-founder. “The technologies we’re developing at Pearl serve a range of dental healthcare needs, but each aims at the same fundamental goal: Eliminating inconsistency and elevating outcomes. This patent validates our machine learning team’s effort to deliver on that objective within the restorative arena.”
More articles on dental:
Arizona dentist offering at-home COVID-19 vaccine delivery
OIG opens fraud investigation into 4 Texas dentists
Do dentists have to disclose to patients which employees have had COVID-19?