Cited by 11Colorectal Cancer Screening and DetectionAI in cancer detectionColorectal Cancer Surgical Treatments

Gorilla in the room: even experts can miss polyps at colonoscopy and how AI helps complex visual perception tasks

Cherubini, Andrea, East, James E.·2023·Digestive and Liver Disease

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Crossref · 10.1016/j.dld.2022.10.004

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Human experts may face challenges in detecting certain endoscopic targets, even in high-resolution still images.

    “Taken together, these perceptual and cognitive bottlenecks indicate that human experts may face challenges in detecting certain endoscopic targets, even in high-resolution still images ( Fig. 2 ) [ 11,30 ].”

    From Enhancing human-AI collaboration: The case of colonoscopy (2024) · cites this paper as [30]

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Authors
Cherubini, A., & East, J. E.
Affiliations
  • University of Milano-Bicocca (IT)
  • Mayo Clinic (US)
Corresponding author
Cherubini, Andrea
Venue
Digestive and Liver Disease
Publisher
Elsevier BV
Published
2023-02
Volume
55
Issue
2
Pages
151-153
ISSN
1590-8658 (ISSN-L)
OpenAlex
W4308036690
Cited by
11
References
1
Citations by year
2025: 2 · 2024: 6 · 2023: 3
FWCI
1.15
Type
journal article
Language
en
Open access
closed
Locations
  • Digestive and Liver Disease (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute for Health and Care Research
Topics
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
Keywords
colonoscopy, polyp detection, artificial intelligence, colorectal cancer prevention, precancerous lesions, bowel preparation, operator fatigue, visual perception, endoscopy
MeSH terms
Animals, Artificial Intelligence, Colonic Polyps, Colonoscopy, Gorilla gorilla, Humans, Visual Perception, Colorectal Neoplasms

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