TY - JOUR
TI - PEACE: Perception and Expectations toward Artificial Intelligence in
Capsule Endoscopy
AU - Leenhardt, Romain
AU - Fernandez-Urien Sainz, Ignacio
AU - Rondonotti,
AU - Emanuele
AU - Toth, Ervin
AU - van de Bruaene, Cedric
AU - Baltes, Peter
AU - and Rosa, Bruno Joel
AU - Triantafyllou, Konstantinos
AU - Histace,
AU - Aymeric
AU - Koulaouzidis, Anastasios
AU - Dray, Xavier
AU - I-CARE Grp
JO - Journal of Clinical Medicine Research
PY - 2021
VL - 10
TODO - 23
SP - null
PB - MDPI
SN - 1918-3003, 1918-3011
TODO - 10.3390/jcm10235708
TODO - small bowel capsule endoscopy; artificial intelligence; perceptions and
sentiments; machine learning
TODO - 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.
ER -