I see something you do not: Eye movement modelling examples do not improve anomaly detection in interpreting medical images.
Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME s...
| Publicado en: | Journal of Computer Assisted Learning Vol. 38; no. 2; pp. 379 - 392 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts randomized controlled trial Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155518133&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155518133 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2022 vid: 38 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 155518133 153729506 155518133 155518133 10.1111/jcal.12619 155518133 ppf: 379 ppct: 13 formats: tig: atl: I see something you do not: Eye movement modelling examples do not improve anomaly detection in interpreting medical images. aug: au: Eder, Thésése F. Scheiter, Katharina Richter, Juliane Keutel, Constanze Hüttig, Fabian affil: Leibniz‐Institut für Wissensmedien, Tübingen, Germany sug: subj: Eye Movements Physiology Image Processing, Computer Assisted Education Radiographic Image Interpretation, Computer-Assisted Human Students, Dental Randomized Controlled Trials Random Assignment Pretest-Posttest Design Female Adult Causal Modeling Exploratory Research Descriptive Statistics Adult: 19-44 years Female ab: Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified. Objectives: We investigated whether a training with EMME and verbal explanations supports dental students in evaluating OPTs. Methods: Dental students were randomly assigned to an intervention (N = 42) or a control group (N = 41). The intervention group received the EMME between pre‐ and post‐test. In a laboratory study, we measured students' gaze behaviour during evaluating OPTs and the detection rate of anomalies. Results and conclusions: The training led to fewer, shorter, and later fixations on anomalies and no difference in visual coverage of the OPT. The detection rate of anomalies did not improve. We replicated the latter finding in an online study (N = 31). Students may not have been able to apply the information from the EMME to detect anomalies. The image reading processes changed to more efficient rather than deeper visual search. Major takeaways: This study evaluated a training method with EMME for anomaly detection of OPTs. EMMEs did not improve the anomaly detection of dental students and changed their visual search process toward a more efficient rather than a deeper search. Lay Description: What is already known about this topic: Dental students and dentists commit many errors when interpreting radiographs.Validated interventions to support radiograph interpretations are lacking.Eye movement modelling examples (EMME) consist of videos showing an expert's gaze behaviour while performing a visual task.EMME improve processing of visual information in other domains (e.g., multimedia learning, chest x‐rays). What this paper adds: We investigated whether EMME improved detection of anomalies and gaze behaviour for dental students.Three EMME videos of dental experts explaining their behaviour and observations were presented to students.Studying the EMME videos did not improve the detection of anomalies.The gaze behaviour changed to a more efficient visual search. Implications for practice and/or policy: EMME do not seem to be effective as a short‐term intervention to improve anomaly detection for dental students.Further research is needed to develop effective training methods that could be applied in university teaching. pubtype: Academic Journal doctype: diagnostic images research tables/charts randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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