Related Experiment Video
Updated: Jun 15, 2026

07:57
Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
Published on: April 29, 2014
13.3K
Does the Learning Curve for Intraoral Scanning Vary Depending on the Device?
M S N Borges1, L Cardoso1, M T Rea2
1Department of Dental Materials and Prosthesis, Ribeirão Preto School of Dentistry, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.
The European Journal of Prosthodontics and Restorative Dentistry
|January 31, 2025
Summary
Dentists learn intraoral scanners (IOS) similarly, but device features affect scanning speed. Understanding these learning curves optimizes digital dentistry training and adoption.
Area of Science:
- Digital dentistry
- Dental technology adoption
- Clinical learning curves
Background:
- Intraoral scanners (IOS) are increasingly replacing conventional dental impressions.
- Mastering IOS requires a learning period for dental professionals.
- This study investigates the learning efficiency of different IOS models.
Purpose of the Study:
- To compare the learning curves of three intraoral scanner systems: Eagle, Omnicam-AF, and IS-3700.
- To determine the number of trials needed for dentists to achieve proficiency with each IOS.
- To assess user experience and identify factors influencing learning efficiency.
Main Methods:
- 29 dentists with no prior IOS experience were randomly assigned to one of three IOS groups.
- Participants completed full arch scans on a phantom model after a lecture.
- Scanning times were recorded, and Wright's model estimated proficiency trials. Kruskal-Wallis and Chi-Square tests were used for analysis.
Main Results:
- Proficiency was reached after approximately 10-11 trials for all tested intraoral scanners.
- The IS-3700 group achieved faster average scanning times (167.9s) compared to Eagle (245.5s) and Omnicam-AF (260.6s).
- While appreciating time savings, 60-70% of participants indicated a need for additional training.
Conclusions:
- Intraoral scanner characteristics significantly impact learning efficiency and user perception, despite similar numbers of trials for proficiency.
- Optimizing IOS training programs requires understanding device-specific performance and learning curves.
- This knowledge aids clinicians in effectively adopting digital workflows.
Related Concept Videos
Scanning Electron Microscopy
A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
Fundamental Principles
Accelerated...
Calibration Curves: Linear Least Squares
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
For data that follow a straight line, the standard method for fitting is the linear...

