Artificial intelligence (AI) has the potential to revolutionize eye care in low-income countries, where access to quality healthcare is often limited. AI-powered diagnostic tools can help detect eye diseases such as diabetic retinopathy, cataracts, and glaucoma more accurately and efficiently.
In low-income countries, the lack of trained eye care professionals and limited access to specialized equipment hinders the delivery of quality eye care services. AI can help bridge this gap by enabling non-specialist healthcare workers to detect eye diseases using AI-powered diagnostic tools.
These tools use machine learning algorithms to analyze images of the eye and detect abnormalities. AI-powered diagnostic tools can also help prioritize patients who require urgent treatment, ensuring that those who need care the most receive it promptly.
Moreover, AI can help reduce the cost of eye care services, making them more accessible to low-income populations. By automating routine tasks, AI can also free up eye care professionals to focus on more complex cases, improving overall patient outcomes.
Several organizations are already working to develop and deploy AI-powered eye care solutions in low-income countries. For example, the non-profit organization, Orbis International, is using AI-powered diagnostic tools to detect diabetic retinopathy in patients in India and other low-income countries.
