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Reading of small bowel capsule endoscopy after frame reduction using an artificial intelligence algorithm.

Dong Jun Oh1, Youngbae Hwang2, Sang Hoon Kim3

  • 1Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, 27 Dongguk-ro, Ilsandong-gu, Goyang, 10326, Republic of Korea.

BMC Gastroenterology
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) effectively reduces poorly visualized images in small bowel capsule endoscopy (SBCE), significantly decreasing reading time without impacting diagnostic accuracy for small bowel lesions.

Keywords:
Artificial intelligenceCapsule endoscopyFrame reductionMucosal visualization

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Area of Science:

  • Gastroenterology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Poorly visualized images in small bowel capsule endoscopy (SBCE) complicate lesion interpretation and increase physician workload.
  • An artificial intelligence (AI) algorithm has been developed to assess mucosal visualization quality in SBCE.

Purpose of the Study:

  • To evaluate if removing poorly visualized images using an AI algorithm affects the diagnostic accuracy of SBCE.
  • To assess the impact of AI-assisted frame reduction on SBCE reading time.

Main Methods:

  • Ninety SBCE cases were analyzed, with two endoscopists performing readings.
  • Readings were conducted with (AI user group) and without (AI non-user group) AI-driven removal of poorly visualized images (<50% mucosal visualization).
  • Diagnostic concordance and reading time were compared between the two groups.

Main Results:

  • Statistically significant diagnostic concordance was observed between the AI user and non-user groups (k=0.954).
  • The AI user group had a mean of 1401.7 lesion images compared to 3008.5 in the AI non-user group.
  • Reading time was reduced by 35.6% in the AI user group (77.9 min) compared to the AI non-user group (120.9 min).

Conclusions:

  • AI-assisted reduction of poorly visualized frames in SBCE does not negatively impact the final diagnosis.
  • Integrating AI for frame reduction and visualization evaluation enhances AI-assisted SBCE interpretation.