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AI-Assisted Diagnostics in Dentistry: An Eye-Tracking Study on User Behavior.
Laura Winterhalter1, Florian Kofler2,3,4,5, Dragan-Alexander Ströbele6
1Undergraduate dental student, Danube Private University, Krems, Austria.
Journal of Clinical and Experimental Dentistry
|July 11, 2024
Summary
Low-budget eye-tracking systems show varying accuracy for dental AI diagnostics. Webgazer.js outperformed Peye Tracker, but both face challenges for clinical use in analyzing dentists' visual attention.
Area of Science:
- Dental diagnostics
- Artificial Intelligence in healthcare
- Human-computer interaction
Background:
- Artificial Intelligence (AI) is transforming dental diagnostics, particularly with radiographic imaging like Orthopantomograms (OPGs).
- Eye tracking offers insights into dentists' visual attention during diagnostic tasks.
- Traditional eye-tracking systems face barriers to clinical adoption due to cost and complexity.
Purpose of the Study:
- To evaluate the effectiveness of two low-budget eye-tracking systems for capturing dentists' visual engagement with OPGs.
- To assess the utility of Peye Tracker and Webgazer.js in a clinical setting.
- To understand the impact of visual aids on eye-tracking performance.
Main Methods:
- Thirty dental practitioners and students evaluated two low-budget eye-tracking systems: Peye Tracker and Webgazer.js.
- Data collection involved setup, environmental conditions, and eye-tracking analysis.
- Statistical analysis compared system accuracy and the influence of visual aids.
Main Results:
- Webgazer.js demonstrated significantly higher accuracy than Peye Tracker (p<0.001).
- Both systems showed significant differences in performance influenced by visual aids (glasses vs. contact lenses) (p<0.05).
Conclusions:
- Low-budget eye-tracking devices present accuracy challenges for analyzing dentists' visual attention in clinical settings.
- Continued innovation is needed to improve the accuracy and practicality of these devices for dentistry.
- Further research can enhance the integration of AI and eye-tracking in dental practice.
