Artificial Intelligence for Better Dental Diagnostics

The InnerView® System Uses Machine Learning, Deep Learning
and Finite Element Analysis to Diagnose Damage.

AI Changes Everything.

For the first time in dentistry, machine learning, deep learning and finite element analysis is being used in order to identify Damage and Mobility types. Results are real-time and on screen, with an easy-to-read patient report

  • Diagnose the probable cause of damage.
  • Empower the clinician to provide an appropriate treatment plan.
  • Eliminate the learning curve as results are calculated in real-time, on screen with an easy-to-read diagnostic patient report.

Data Eliminates the Guesswork

Massive amounts of HIPAA compliant data is collected via our data collection handpiece which is uploaded to InnerView®’s Cloud server. Trends are immediately analyzed and correlated to critical damage, which includes 5 specific crack types: Failing restorations (such as loss of cement seal on crown, veneers, fillings, etc.), root cracks, vertical cracks, horizontal crack and oblique cracks as well as severity and location. Over time, and as more and more data is collected, the diagnostic capability will be continuously enhanced.

All The Features You Need

Location of damage
Base on score indicated
Detects Damage & Mobility
Indicates specific crack type
Tooth Condition
Describes the restorative condition of tooth or implant

Probability
Provides percentage calculation of diagnosis and basis for calculation
Urgency
Red, yellow or green indicates recommended immediacy of action
Clinical Suggestions
A series of suggested course of action