“Integration of Artificial Intelligence (AI) in Diagnostic Imaging”
- A growing trend in the ophthalmology devices market is the integration of AI and machine learning algorithms into diagnostic imaging tools, enhancing accuracy, speed, and early detection of ocular diseases
- AI-enabled systems are increasingly being used to analyze retinal scans, detect diabetic retinopathy, glaucoma, and AMD, and provide clinical decision support in real-time
- The trend is driven by the need for scalable diagnostic solutions in resource-limited settings and the rising burden of chronic eye conditions
- For instance, in 2024, Google Health partnered with Aravind Eye Hospital in India to deploy AI tools for retinal disease screening, enabling automated diagnosis at primary care levels
- This trend is expected to revolutionize ophthalmic diagnostics by improving efficiency, reducing costs, and making eye care more accessible globally
