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 |
| Sumario: | 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. |
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