ORIGINAL RESEARCH article
Front. Med.
Sec. Family Medicine and Primary Care
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1610114
This article is part of the Research TopicDigital Health Innovations for Patient-Centered CareView all 30 articles
Patient Acceptance of AI-Assisted Diabetic Retinopathy Screening in Primary Care: Findings from a Questionnaire-Based Feasibility Study
Provisionally accepted- 1Center for General Practice, Aalborg University, Aalborg, Denmark
- 2The Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg, Denmark
- 3Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- 4Steno Diabetes Center Copenhagen (SDCC), Herlev, Hovedstaden, Denmark
- 5Department of Ophthalmology, Aalborg University Hospital, Aalborg, Denmark
- 6Research Data and Biostatistics, Aalborg University Hospital, Aalborg, Denmark
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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 towards 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.
Keywords: artificial intelligence, type 2 diabetes, Diabetic retinopathy screening, Primary Care, patient acceptance, Questionnaire Development
Received: 11 Apr 2025; Accepted: 26 Aug 2025.
Copyright: © 2025 Krogh, Germund Nielsen, Byskov Petersen, Jensen, Jensen, Vorum, Bruun and Kolding Kristensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Malene Krogh, Center for General Practice, Aalborg University, Aalborg, 9220, Denmark
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