Evidence map›Paper›PMID 36202957›Full record

ArticleScientific reports2022

Artificial intelligence in (gastrointestinal) healthcare: patients' and physicians' perspectives.

Quirine E W van der Zander, Mirjam C M van der Ende-van Loon, Janneke M M Janssen, Bjorn Winkens, Fons van der Sommen, Ad A M Masclee, Erik J Schoon

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
  7. Patients' experiences and attitudes toward the use of real-time artificial intelligence-assisted colonoscopy.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026
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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

7 authors.

Quirine E W van der ZanderDivision of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands. q.vanderzander@maastrichtuniversity.nl.
Mirjam C M van der Ende-van LoonDivision of Gastroenterology and Hepatology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
Janneke M M JanssenGROW, School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Bjorn WinkensDepartment of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands.
Fons van der SommenDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Ad A M MascleeDivision of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands.
Erik J SchoonGROW, School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is entering into daily life and has the potential to play a significant role in healthcare. Aim was to investigate the perspectives (knowledge, experience, and opinion) on AI in healthcare among patients with gastrointestinal (GI) disorders, gastroenterologists, and GI-fellows. In this prospective questionnaire study 377 GI-patients, 35 gastroenterologists, and 45 GI-fellows participated. Of GI-patients, 62.5% reported to be familiar with AI and 25.0% of GI-physicians had work-related experience with AI. GI-patients preferred their physicians to use AI (mean 3.9) and GI-physicians were willing to use AI (mean 4.4, on 5-point Likert-scale). More GI-physicians believed in an increase in quality of care (81.3%) than GI-patients (64.9%, χ

Indexed as

GastroenterologistsGastrointestinal DiseasesPhysiciansArtificial IntelligenceDelivery of Health CareHumansProspective Studies

Identifiers

PMID36202957
PMCPMC9537305

What OpenQuestion holds

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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.