Asset Details
Do you wish to reserve the book?
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
Do you wish to request the book?
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
2020
Overview
Objectives Eye 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 methods Nine 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. Results No 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. Conclusions Although 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.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc,Wiley
Subject
/ Adult
/ Clinical Competence - statistics & numerical data
/ Cysts
/ Dental Assistants - statistics & numerical data
/ Dental Offices - statistics & numerical data
/ Dentists
/ Dentists - statistics & numerical data
/ Diagnostic Errors - prevention & control
/ Eye-Tracking Technology - statistics & numerical data
/ Female
/ Humans
/ Internship and Residency - statistics & numerical data
/ Male
/ Original
/ Pattern Recognition, Visual - physiology
/ Photography, Dental - statistics & numerical data
/ Radiography, Panoramic - statistics & numerical data
/ Students
/ Studies
