Evidence mapPaperPMID 41001386Full record

ArticleFrontiers in medicine2025

Patient acceptance of AI-assisted diabetic retinopathy screening in primary care: findings from a questionnaire-based feasibility study.

Malene Krogh, Marie Germund Nielsen, Gabriela Byskov Petersen, Morten Sig Ager Jensen, Martin Bach Jensen, Henrik Vorum, Niels Henrik Bruun, Jette Kolding Kristensen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Malene KroghCenter for General Practice at Aalborg University, Aalborg, Denmark.
Marie Germund NielsenThe Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg, Denmark.
Gabriela Byskov PetersenSteno Diabetes Center Copenhagen, Copenhagen, Denmark.
Morten Sig Ager JensenCenter for General Practice at Aalborg University, Aalborg, Denmark.
Martin Bach JensenCenter for General Practice at Aalborg University, Aalborg, Denmark.
Henrik VorumDepartment of Ophthalmology, Aalborg University Hospital, Aalborg, Denmark.
Niels Henrik BruunResearch Data and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Jette Kolding KristensenCenter for General Practice at Aalborg University, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This feasibility study investigates patients' acceptance of AI-assisted diabetic retinopathy screening (DRS) in primary care. Method: Patients with type 2 diabetes from 12 primary care settings in Denmark underwent AI-assisted DRS as part of routine diabetes care and completed a questionnaire covering demographics, recent DRS, general health, mental well being, trust in physician, competence in diabetes self-care, distrust in AI, and acceptance of future DRS. Results: 298 patients participated and completed the questionnaire. Acceptance of future AI-assisted DRS in primary care was higher than that of ophthalmologist-led screening, although patients still showed distrust toward AI. Findings indicated that greater competence in diabetes self-care was associated with higher acceptance of future AI-assisted DRS in primary care. Lower distrust in AI increased acceptance of future AI-assisted DRS in primary care, while higher distrust increased acceptance of ophthalmologist-led DRS. Conclusion: This study found that most patients accepted future AI-assisted DRS in primary care. Associations between acceptance and the factors examined are very small and may have limited or no clinical impact. Other factors, such as convenience of having DRS in primary care, may influence patient's acceptance.

Indexed as

artificial intelligencediabetic retinopathy screeningpatient acceptanceprimary carequestionnaire developmenttype 2 diabetes

Identifiers

PMID41001386
PMCPMC12457666

What Socratic holds

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Registered trials

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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 Socratic graph.