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Article Dans Une Revue Journal of Clinical Medicine Année : 2021

PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy

Ignacio Fernandez-Urien Sainz
  • Fonction : Auteur
Emanuele Rondonotti
  • Fonction : Auteur
Ervin Toth
Cedric van de Bruaene
Peter Baltes
  • Fonction : Auteur
Bruno Joel Rosa
Konstantinos Triantafyllou
Anastasios Koulaouzidis

Résumé

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.

Dates et versions

hal-03468310 , version 1 (07-12-2021)

Identifiants

Citer

Romain Leenhardt, Ignacio Fernandez-Urien Sainz, Emanuele Rondonotti, Ervin Toth, Cedric van de Bruaene, et al.. PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy. Journal of Clinical Medicine, 2021, Special Issue on Current and Emerging Technologies & Applications of Endoscopy in Clinical Practice, 10 (23), pp.5708. ⟨10.3390/jcm10235708⟩. ⟨hal-03468310⟩
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