The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze Article Swipe
Joel Troya
,
Daniel Fitting
,
Markus Brand
,
Boban Sudarevic
,
Jakob Nikolas Kather
,
Alexander Meining
,
Alexander Hann
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1055/a-1770-7353
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1055/a-1770-7353
Background Multiple computer-aided systems for polyp detection (CADe) have been introduced into clinical practice, with an unclear effect on examiner behavior. This study aimed to measure the influence of a CADe system on reaction time, mucosa misinterpretation, and changes in visual gaze pattern. Methods Participants with variable levels of colonoscopy experience viewed video sequences (n = 29) while eye movement was tracked. Using a crossover design, videos were presented in two assessments, with and without CADe support. Reaction time for polyp detection and eye-tracking metrics were evaluated. Results 21 participants performed 1218 experiments. CADe was significantly faster in detecting polyps compared with participants (median 1.16 seconds [99 %CI 0.40–3.43] vs. 2.97 seconds [99 %CI 2.53–3.77], respectively). However, the reaction time of participants when using CADe (median 2.90 seconds [99 %CI 2.55–3.38]) was similar to that without CADe. CADe increased misinterpretation of normal mucosa and reduced the eye travel distance. Conclusions Results confirm that CADe systems detect polyps faster than humans. However, use of CADe did not improve human reaction times. It increased misinterpretation of normal mucosa and decreased the eye travel distance. Possible consequences of these findings might be prolonged examination time and deskilling.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1055/a-1770-7353
- http://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-1770-7353.pdf
- OA Status
- hybrid
- Cited By
- 54
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4213128956
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4213128956Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1055/a-1770-7353Digital Object Identifier
- Title
-
The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gazeWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-14Full publication date if available
- Authors
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Joel Troya, Daniel Fitting, Markus Brand, Boban Sudarevic, Jakob Nikolas Kather, Alexander Meining, Alexander HannList of authors in order
- Landing page
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https://doi.org/10.1055/a-1770-7353Publisher landing page
- PDF URL
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https://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-1770-7353.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-1770-7353.pdfDirect OA link when available
- Concepts
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Medicine, Gaze, Eye tracking, Artificial intelligence, Computer vision, Optometry, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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54Total citation count in OpenAlex
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2025: 20, 2024: 16, 2023: 12, 2022: 6Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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