1. Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.
- Author
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Wahlich C, Chandrasekaran L, Chaudhry UAR, Willis K, Chambers R, Bolter L, Anderson J, Shakespeare R, Olvera-Barrios A, Fajtl J, Welikala R, Barman S, Egan CA, Tufail A, Owen CG, and Rudnicka AR
- Subjects
- Humans, Mass Screening methods, Surveys and Questionnaires, England, State Medicine, Health Personnel psychology, Male, Female, Attitude of Health Personnel, Diabetic Retinopathy diagnosis, Artificial Intelligence
- Abstract
Aims: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI's introduction in DESP., Methods: Two online surveys were co-developed with PLD and HCP from a diverse DESP in North East London. Surveys were validated through interviews across three centres and distributed via DESP centres, charities, and the British Association of Retinal Screeners. A coding framework was used to analyse free-text responses., Results: 387 (24%) PLD and 98 (37%) HCP provided comments. Themes included trust, workforce impact, the patient-practitioner relationship, AI implementation challenges, and inequalities. Both groups agreed AI in DESP was inevitable, would improve efficiency, and save costs. Concerns included job losses, data security, and AI decision safety. A common misconception was that AI would directly affect patient interactions, though it only processes retinal images., Conclusions: Limited understanding of AI was a barrier to acceptance. Educating diverse PLD groups and HCP about AI's accuracy and reliability is crucial to building trust and facilitating its integration into screening practices., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Crown Copyright © 2024. Published by Elsevier B.V. All rights reserved.)
- Published
- 2025
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