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PEACE : Perception and expectations toward artificial intelligence in capsule endoscopy

Leenhardt, Romain (author)
Université de Cergy-Pontoise,Paris-Sorbonne University
Sainz, Ignacio Fernandez Urien (author)
Hospital of Navarra, Pamplona
Rondonotti, Emanuele (author)
Valduce Hospital
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Toth, Ervin (author)
Lund University,Lunds universitet,Gastroenterologi,Forskargrupper vid Lunds universitet,Gastroenterology,Lund University Research Groups,Skåne University Hospital
Van de Bruaene, Cedric (author)
Ghent University Hospital
Baltes, Peter (author)
Rosa, Bruno Joel (author)
University of Minho
Triantafyllou, Konstantinos (author)
Attikon University Hospital
Histace, Aymeric (author)
Université de Cergy-Pontoise
Koulaouzidis, Anastasios (author)
Pomeranian Medical University
Dray, Xavier (author)
Université de Cergy-Pontoise,Paris-Sorbonne University
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 (creator_code:org_t)
 
2021-12-06
2021
English.
In: Journal of Clinical Medicine. - : MDPI AG. - 2077-0383. ; 10:23
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Artificial intelligence (AI) has shown promising results in digestive endoscopy, especially in capsule endoscopy (CE). However, some physicians still have some difficulties and fear the advent of this technology. We aimed to evaluate the perceptions and current sentiments toward the use of AI in CE. An online survey questionnaire was sent to an audience of gastroenterologists. In addition, several European national leaders of the International CApsule endoscopy REsearch (I CARE) Group were asked to disseminate an online survey among their national communities of CE readers (CER). The survey included 32 questions regarding general information, perceptions of AI, and its use in daily life, medicine, endoscopy, and CE. Among 380 European gastroenterologists who answered this survey, 333 (88%) were CERs. The mean average time length of experience in CE reading was 9.9 years (0.5–22). A majority of CERs agreed that AI would positively impact CE, shorten CE reading time, and help standardize reporting in CE and characterize lesions seen in CE. Nevertheless, in the foreseeable future, a majority of CERs disagreed with the complete replacement all CE reading by AI. Most CERs believed in the high potential of AI for becoming a valuable tool for automated diagnosis and for shortening the reading time. Currently, the perception is that AI will not replace CE reading.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Gastroenterologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)

Keyword

Artificial intelligence
Machine learning
Perceptions and sentiments
Small bowel capsule endoscopy

Publication and Content Type

art (subject category)
ref (subject category)

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