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  • Leenhardt, R.Hospital Saint-Antoine (author)

Key research questions for implementation of artificial intelligence in capsule endoscopy

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-10-31
  • SAGE Publications,2022

Numbers

  • LIBRIS-ID:oai:gup.ub.gu.se/321674
  • https://gup.ub.gu.se/publication/321674URI
  • https://doi.org/10.1177/17562848221132683DOI
  • https://lup.lub.lu.se/record/76a648ad-a44b-4939-a082-f6f5e784f3d2URI

Supplementary language notes

  • Language:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Background: Artificial intelligence (AI) is rapidly infiltrating multiple areas in medicine, with gastrointestinal endoscopy paving the way in both research and clinical applications. Multiple challenges associated with the incorporation of AI in endoscopy are being addressed in recent consensus documents. Objectives: In the current paper, we aimed to map future challenges and areas of research for the incorporation of AI in capsule endoscopy (CE) practice. Design: Modified three-round Delphi consensus online survey. Methods: The study design was based on a modified three-round Delphi consensus online survey distributed to a group of CE and AI experts. Round one aimed to map out key research statements and challenges for the implementation of AI in CE. All queries addressing the same questions were merged into a single issue. The second round aimed to rank all generated questions during round one and to identify the top-ranked statements with the highest total score. Finally, the third round aimed to redistribute and rescore the top-ranked statements. Results: Twenty-one (16 gastroenterologists and 5 data scientists) experts participated in the survey. In the first round, 48 statements divided into seven themes were generated. After scoring all statements and rescoring the top 12, the question of AI use for identification and grading of small bowel pathologies was scored the highest (mean score 9.15), correlation of AI and human expert reading-second (9.05), and real-life feasibility-third (9.0). Conclusion: In summary, our current study points out a roadmap for future challenges and research areas on our way to fully incorporating AI in CE reading.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Koulaouzidis, AnastasiosPomeranian Medical University(Swepub:lu)med-aku (author)
  • Histace, A.Université de Cergy-Pontoise (author)
  • Baatrup, G.Odense University Hospital (author)
  • Beg, S.Imperial College Healthcare NHS Trust (author)
  • Bourreille, A.Nantes University Hospital (author)
  • de Lange, Thomas,1960Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska University Hospital(Swepub:gu)xdelth (author)
  • Eliakim, R.Tel-Aviv University (author)
  • Iakovidis, D.University of Thessaly (author)
  • Jensen, M. D.Lillebaelt Hospital,Tallaght University Hospital,Sao Joao Hospital (author)
  • Keuchel, M.Agaplesion Bethesda Hospital (author)
  • Yehuda, R. M.Tel-Aviv University (author)
  • McNamara, D. (author)
  • Mascarenhas, M. (author)
  • Spada, C.Fondazione Poliambulanza Istituto Ospedaliero, Brescia (author)
  • Segui, S.University of Barcelona (author)
  • Smedsrud, P.University of Oslo (author)
  • Toth, ErvinLund University,Lunds universitet,Gastroenterologi,Forskargrupper vid Lunds universitet,Gastroenterology,Lund University Research Groups,Skåne University Hospital(Swepub:lu)ront-eto (author)
  • Tontini, G. E.University of Milan (author)
  • Klang, E.Tel-Aviv University (author)
  • Dray, X.Hospital Saint-Antoine (author)
  • Kopylov, U.Tel-Aviv University (author)
  • Hospital Saint-AntoinePomeranian Medical University (creator_code:org_t)

Related titles

  • In:Therapeutic Advances in Gastroenterology: SAGE Publications151756-283X1756-2848

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