{
  "abstract": "Background and aims: Evaluation of cleanliness in capsule endoscopy is essential to validate the exam. However, reliable evaluation of bowel cleanliness remains challenging. The validated KODA score provides robust assessment but is time-consuming and impractical in routine practice. We aimed to evaluate the performance of an AI-based tool (AXAROlite, Augmented Endoscopy) compared with the KODA score for assessing small bowel cleanliness in CD patients. Methods: This was a post hoc analysis of a multicenter randomized controlled trial (NCT05117996) including 142 CD patients undergoing SBCE after either a standard PEG-based or simplified clear liquid preparation. All videos were evaluated for cleanliness using the KODA score by trained readers. The same videos were analyzed using the AI-based AXAROlite tool. Correlation, agreement, and diagnostic performance of AXAROlite were compared with the KODA score. Clinical factors influencing AI-assessed cleanliness were also investigated. Results: AXAROlite and KODA showed strong correlation for whole small bowel (ρ = 0.61; p < 0.001). AXAROlite demonstrated excellent diagnostic accuracy for detecting adequate cleanliness defined as KODA > 2.25 (AUROC = 0.85, 95% CI 0.79-0.92), with an optimal threshold of 72% clean frames (sensitivity 86%, specificity 72%). Mean cleanliness decreased progressively from proximal to distal small bowel with both methods (p = 0.001). The AXROlite score was independently reduced in patients with active disease and a longer small bowel transit time. Conclusions: AXAROlite provides a rapid, fully automated, and accurate evaluation of small bowel cleanliness in CD, comparable to the validated KODA score. Its integration into routine workflows may streamline reporting and reduce inter-observer variability.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "name": "Raphaëlle Rouveyre"
    },
    {
      "name": "Catherine Le Berre"
    },
    {
      "name": "Romain Leenhardt"
    },
    {
      "name": "Michael Collins"
    },
    {
      "name": "Astrid de Massin"
    },
    {
      "name": "Mathurin Flamant"
    },
    {
      "name": "Caroline Trang-Poisson"
    },
    {
      "name": "Guillaume Bouguen"
    },
    {
      "name": "Nina Dib"
    },
    {
      "name": "Aymeric Histace"
    },
    {
      "name": "Theo Soude"
    },
    {
      "name": "Xavier Dray"
    },
    {
      "name": "Arnaud Bourreille"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5rbtx0qph8xpb.bib",
  "cited_by": 0,
  "doi": "10.1002/ueg2.70242",
  "fulltext_url": null,
  "id": "5rbtx0qph8xpb",
  "issns": [
    "2050-6406",
    "2050-6414"
  ],
  "landing_url": "https://hal.science/hal-05664789v1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.info"
    ],
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.info.info-cv"
    ],
    [
      "hal",
      "1.sdv.mhep"
    ],
    [
      "hal",
      "2.sdv.mhep.heg"
    ],
    [
      "openalex",
      "2715|Gastrointestinal Bleeding Diagnosis and Treatment"
    ]
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  "openalex": "W7164010191",
  "pdf_url": "https://hal.science/hal-05664789/document",
  "pmcid": null,
  "pmid": "42262977",
  "published": "2026-06-09",
  "publisher": "SAGE Publications",
  "ris": "https://research.draconitic.com/paper/5rbtx0qph8xpb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:57Z",
      "native_id": "hal-05664789",
      "source": "hal",
      "url": "https://hal.science/hal-05664789v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:0.sdv",
      "subfield": "general"
    },
    {
      "field": "medicine",
      "origin": "hal:1.sdv.mhep",
      "subfield": "general"
    }
  ],
  "title": "Artificial Intelligence Versus Conventional Scoring for Assessing Small Bowel Capsule Endoscopy Cleanliness in Crohn's Disease",
  "title_text": "Artificial Intelligence Versus Conventional Scoring for Assessing Small Bowel Capsule Endoscopy Cleanliness in Crohn's Disease",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:57Z",
  "url": "https://research.draconitic.com/paper/5rbtx0qph8xpb",
  "venue": "United European Gastroenterology Journal",
  "versions": []
}