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Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology.

Omer F AhmadEvangelos MazomenosFrancois ChadebecqRawen KaderMohamed HusseinRehan J HaidryJuana González-Bueno PuyalPatrick BrandaoDaniel TothPeter MountneyEd SewardRoser VegaDanail StoyanovLaurence B Lovat
Published in: Journal of gastroenterology and hepatology (2023)
Cognitive errors were the most common reason for visual recognition errors. The impact of interventions such as artificial intelligence, particularly on different types of perceptual errors, needs further investigation including potential effects on learning curves. To facilitate future research, a publicly accessible visual perception colonoscopy polyp database was created.
Keyphrases
  • artificial intelligence
  • adverse drug
  • patient safety
  • machine learning
  • big data
  • deep learning
  • quality improvement
  • current status