Q&A: Netra.ai uses Intel technologies to identify diabetic retinopathy

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The groundbreaking technology developed by Leben Care and the Sankara Eye Foundation, known as Netra.ai, leverages Intel’s advanced solutions to swiftly identify diabetic retinopathy (DR), offering a critical service to India’s massive diabetic population of approximately 65 million people. Diabetic retinopathy, which can lead to vision impairment or blindness, affects nearly one-third of these individuals. The innovative use of AI in healthcare, particularly in screening for retinopathy, is helping to democratize access to health services and reduce preventable blindness, as articulated by Dr. Kaushik Murali, a senior executive at Sankara Eye Foundation.

Netra.ai utilizes a cloud-based platform that analyzes eye images and yields results almost instantaneously, boasting an impressive accuracy rate of 98.5 percent. This solution is accessible enough that it can be operated by a single technician, even in remote rural areas, addressing the shortage of healthcare specialists in these locations. By harnessing Intel’s Deep Learning Boost technology with Xeon Scalable processors via Amazon’s EC2 C5 cloud instances, Netra.ai not only facilitates early detection of DR but also alleviates the burden on healthcare systems globally.

The technology employs a four-step deep convolutional neural network (DCNN) to accurately detect and annotate lesions related to different DR stages. The solution’s speed and precision are invaluable in both developing and affluent regions, optimizing patient outcomes by streamlining the diagnosis process. As Hema Chamraj, Intel’s Director of Technology Advocacy, Ai4Good, notes, AI excels in sensitivity and specificity, making it an ideal screening tool crucial for early intervention and alleviating strains on overwhelmed healthcare systems.

While regulatory hurdles exist across different countries, progress is being made towards comprehensive AI integration in healthcare. The U.S., for instance, has advanced with FDA clearances for various AI solutions. The potential for AI-driven diagnostic tools extends beyond retinopathy; Chamraj highlights promising applications in medical imaging, which could revolutionize clinical care by providing deeper insights and facilitating preventive and precision medicine.

As of now, Netra.ai has efficiently screened over 3,093 individuals in India, identifying 742 who are at risk. The platform is adaptable and may expand to include other retinal conditions such as Glaucoma. Beyond its current capabilities, Netra.ai’s approach to integrating AI with existing healthcare infrastructures mirrors the potential for similar innovations in other domains, including video technology. Imagine combining this AI precision with a convert image to video ai system to create immersive educational and awareness content.

These advancements are just a glimpse into the transformative power of AI in modern medicine and visual technologies.

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