Evidence map›Paper›PMID 34884410›Full record

ArticleJournal of clinical medicine2021

PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy.

Romain Leenhardt, Ignacio Fernandez-Urien Sainz, Emanuele Rondonotti, Ervin Toth, Cedric Van de Bruaene, Peter Baltes, Bruno Joel Rosa, Konstantinos Triantafyllou, Aymeric Histace, Anastasios Koulaouzidis and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Romain LeenhardtEndoscopy Unit, Saint Antoine Hospital, Sorbonne University, APHP, 75012 Paris, France.
Ignacio Fernandez-Urien SainzGastroenterology, Hospital de Navarra, 31008 Pamplona, Spain.
Emanuele RondonottiGastroenterology Unit, Valduce Hospital, 22100 Como, Italy.
Ervin TothDepartment of Gastroenterology, Skane University Hospital, Lund University, 214 28 Malmo, Sweden.ORCID 0000-0002-9314-9239
Cedric Van de BruaeneDepartment of Gastroenterology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-7823-016X
Peter BaltesKlinik für Innere Medizin, Agaplesion Bethesda Krankenhaus Bergedorf, 21029 Hamburg, Germany.
Bruno Joel RosaDepartment of Gastroenterology, Hospital da Senhora da Oliveira, 4835-044 Guimarães, Portugal.ORCID 0000-0003-2885-0720
Konstantinos TriantafyllouHepatogastroenterology Unit, Second Department of Internal Propaedeutic Medicine, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, 10679 Athens, Greece.ORCID 0000-0002-5183-9426
Aymeric HistaceETIS UMR 8051, CY Paris Cergy University, ENSEA, CNRS, 95000 Cergy-Pontoise, France.ORCID 0000-0002-3029-4412
Anastasios KoulaouzidisDepartment of Social Medicine & Public Health, Faculty of Health Sciences, Pomeranian Medical University, 70-204 Szczecin, Poland.ORCID 0000-0002-2248-489X
Xavier DrayEndoscopy Unit, Saint Antoine Hospital, Sorbonne University, APHP, 75012 Paris, France.
On Behalf Of The I-Care Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

artificial intelligencemachine learningperceptions and sentimentssmall bowel capsule endoscopy

Identifiers

PMID34884410
PMCPMC8658716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.