Towards equitable implementation of AI‐assisted screening for diabetic retinopathy: Perspectives on digital literacy, trust and system readiness in developing countries...Willis K, Shakespeare R, Chandrasekaran L, et al. What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Diabetic Medicine. 2026;43(1):1-17.
The article focuses on expanding the discussion of artificial intelligence (AI)–assisted diabetic retinopathy screening by highlighting challenges and considerations in low- and middle-income countries (LMICs). It emphasizes that beyond clinical trust issues noted in high-income settings, LMICs face...
| Publicado en: | Diabetic Medicine Vol. 43; no. 8; pp. 1 - 3 |
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| Autores principales: | , |
| Formato: | commentary letter Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195473830&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195473830 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07423071 F07 jtl: Diabetic Medicine issn: 07423071 maglogo: Y pubinfo: dt: Aug2026 vid: 43 iid: 8 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 195473830 193856328 195473830 195473830 10.1111/dme.70325 195473830 ppf: 1 ppct: 2 formats: tig: atl: Towards equitable implementation of AI‐assisted screening for diabetic retinopathy: Perspectives on digital literacy, trust and system readiness in developing countries...Willis K, Shakespeare R, Chandrasekaran L, et al. What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Diabetic Medicine. 2026;43(1):1-17. aug: au: Putra, Bela Janare Rohmiati affil: Universitas Islam Negeri Raden Fatah Palembang, Palembang, Indonesia sug: subj: Diabetic Patients Psychosocial Factors Patient Attitudes Evaluation National Health Programs Labor Supply Attitude of Health Personnel Evaluation Implementation Science Artificial Intelligence Vision Screening Diabetic Retinopathy Diagnosis Computer Literacy Developing Countries Trust Health Services Accessibility Developing Countries Diagnosis, Computer Assisted Algorithms Accountability Professional Role Diffusion of Innovation ab: The article focuses on expanding the discussion of artificial intelligence (AI)–assisted diabetic retinopathy screening by highlighting challenges and considerations in low- and middle-income countries (LMICs). It emphasizes that beyond clinical trust issues noted in high-income settings, LMICs face barriers such as limited digital literacy, algorithmic fairness due to AI systems trained on Western populations, and lower institutional trust affecting patient acceptance. The authors suggest that AI implementation should account for cross-ethnic validation, diabetes digital literacy, and healthcare system readiness in resource-constrained environments. They advocate for research that addresses these factors to ensure equitable and effective global adoption of AI in diabetic eye screening. pubtype: Academic Journal doctype: commentary letter Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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