ArticleClinical and experimental dental research2020
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology.
Article in Clinical and experimental dental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Effect of conspicuity level on dental students' visual attention to impacted maxillary canines on panoramic radiographs: an eye-tracking study.BMC oral health · 2026Article
- A mouse-tracking study on visualization of panoramic radiographs among Oral & Maxillofacial Radiology faculty.Dento maxillo facial radiology · 2026Article
- Eye-tracking metrics to compare visual attention in prosthodontic preclinical evaluations.BMC oral health · 2025Observational
- Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss.BMC oral health · 2025Article
- Examining gaze behavior in undergraduate students and educators during the evaluation of tooth preparation: an eye-tracking study.BMC medical education · 2024Article
- Article
- AI-Assisted Diagnostics in Dentistry: An Eye-Tracking Study on User Behavior.Journal of clinical and experimental dentistry · 2024Article
- Viewing patterns regarding panoramic radiographs with different pathological lesions: an eye-tracking study.Dento maxillo facial radiology · 2021Article
- A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology.Clinical and experimental dental research · 2020Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesEye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiographic images using eye tracking technology and examines if there is a correlation. MATERIAL AND
methodsNine JHDOs and nine DSAs examined six radiographic images and 16 nonradiographic images using eye tracking. The areas of interest (AOIs) of the radiographic images were rated as easy, medium, and hard, and the nonradiographic images were categorized as pattern recognition, face recognition, and image comparison. The participants were required to identify and locate the AOIs. Data analysis of the two domains, entire slide and AOI, was conducted by evaluating the eye tracking metrics (ETM) and the performance outcomes. ETM consisted of six parameters, and performance outcomes consisted of four parameters.
resultsNo significant differences were observed for ETMs for JHDOs and DSAs for both radiographic and nonradiographic images. The JHDOs showed significantly higher percentage in identifying AOIs than DSAs for all the radiographic images (72.7% vs. 36.4%, p = .004) and for the easy categorization of radiographic AOIs (85.7% vs. 42.9%, p = .012). JHDOs with higher correct identification percentage in face recognition had a shorter dwell time in AOIs.
conclusionsAlthough no significant relation was observed between radiographic and nonradiographic images, there were some evidence that visual recognition skills may impact certain attributes of the visual search pattern in radiographic images.
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