Emerging Technologies Transforming Vision Rehabilitation and Eye Care Accessibility
DOI:
https://doi.org/10.56450//JEFI.2025.v3i1Suppl.008Keywords:
AI, Technologies, Rehabilitation, Eye CareAbstract
This chapter explores the transformative potential of emerging technologies in vision rehabilitation and eye care accessibility, examining artificial intelligence applications, augmented and virtual reality systems, smartphone-based assistive platforms, 3D printing innovations, and tele-assistive solutions. Through systematic analysis of recent literature spanning 2018-2024, this chapter evaluates the current state of AI-powered wearables, computer vision applications for navigation and object recognition, immersive technologies for therapeutic intervention, and personalized manufacturing approaches. The analysis reveals significant promise in prototype development and research applications, while identifying persistent challenges in commercial translation, affordability, and equitable access, particularly in low- and middle-income countries. The chapter concludes with critical examination of ethical considerations, digital divide implications, and policy recommendations for ensuring that technological advances contribute to rather than exacerbate existing inequities in vision care access.
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References
1. Beheshti, M., Jones, B. M., Hudson, T., Starner, T., & Pratt, S. Wearables for persons with blindness and low vision: Form factor matters. Assistive Technology, 2023;35(3), 234-245.
2. Boggs, D., Hydara, A., Faal, Y., Alma, M. A., Polack, S., & Zuurmond, M. Estimating need for glasses and hearing aids in The Gambia: Results from a national survey and comparison of clinical impairment and self-report assessment approaches. International Journal of Environmental Research and Public Health, 2021;18(12), 6302.
3. Burton, M. J., Ramke, J., Marques, A. P., Bourne, R. R., Congdon, N., Jones, I., … & Resnikoff, S. The Lancet Global Health Commission on Global Eye Health: vision beyond 2020. The Lancet Global Health, 2021;9(4), e489-e551.
4. Das, B. Sustainable global vision care. Kerala Journal of Ophthalmology, 2022;34(2), 89-94.
5. Gill K. Visual disability in India: A literature review of challenges, interventions, and inclusive strategies (1990–2020). ShodhKosh Journal of Visual and Performing Arts, 2022;3(1), 1-15.
6. Labkovich, M., Paul, M., Kim, E., Patel, S. N., & Nagiel, A. (2022). Portable hardware & software technologies for addressing ophthalmic health disparities: A systematic review. Digital Health, 8, 20552076221090042.
7. Mishra, S., Laplante-Lévesque, A., Barbareschi, G., Romo Parada, L., Romo Parada, L., & Gowran, R. J. (2022). Assistive technology needs, access and coverage, and related barriers and facilitators in the WHO European region: A scoping review. The Lancet Regional Health-Europe, 22, 100485.
8. Nayar, P. D., Senjam, S. S., Christy, B., Gupta, V., Vashist, P., & Gupta, N. (2021). Low vision, vision rehabilitation, and assistive technology. In Community Ophthalmology (pp. 297-318). Springer. https://doi.org/10.1007/978-981-16-3787-2_16
9. Senjam, S. S., Manna, S., Vashist, P., Gupta, V., Gupta, N., & Gupta, S. K. Improving assistive technology access to students with low vision and blindness in Delhi: A school-based model. Indian Journal of Ophthalmology, 2022;70(12), 4296-4302.
10. Swaminathan, U., & Daigavane, S. (2024). Unveiling the potential: A comprehensive review of artificial intelligence applications in ophthalmology and future prospects. Cureus, 2024;16(6), e61826.
11. Tan, T. F., Thirunavukarasu, A. J., Jin, L., Ting, D. S. W., Sim, D. A., Ang, M., … & Liu, Y. (2023). Artificial intelligence and digital health in global eye health: Opportunities and challenges. The Lancet Global Health, 2023;11(9), e1432-e1443.
12. World Health Organization. (2022). Global report on assistive technology. World Health Organization.
