Dr. Venkata Kotam Raju Poranki (PVK) Unveils Cutting-Edge AI Frameworks to Deliver Faster, Safer, and More Accessible Diabetic Retinopathy Screening
Sandy, Utah — October 2025 — In a world where over 460 million people live with diabetes and millions face the threat of vision loss due to diabetic retinopathy (DR), a groundbreaking innovation from Dr. Venkata Kotam Raju Poranki (PVK), Ph.D., is reshaping how this silent condition is detected and managed. Blending cutting-edge artificial intelligence with a passion for equitable healthcare, Dr. Poranki’s research introduces a suite of AI frameworks that promises to revolutionize diabetic eye care—particularly in rural and underserved communities.
This milestone research, conducted as part of Dr. Poranki’s Ph.D. at Koneru Lakshmaiah Education Foundation, tackles a long-standing gap in diabetic retinopathy diagnosis: traditional screening methods require manual image analysis by specialists, making the process slow, expensive, and largely inaccessible to millions around the world.
Four Powerful AI Frameworks for a New Healthcare Era
The innovative AI system is built upon four complementary frameworks: DRG-Net, CEFNet, SDRG-Net, and ICNN-IRDO. Together, these models form a holistic approach to automated, secure, and highly accurate diabetic retinopathy diagnosis.
· DRG-Net leverages graph-based feature extraction combined with XGBoost to overcome challenges of class imbalance and improve classification accuracy.
· CEFNet enhances feature representation using Iterative Random Forest (IRF) and advanced balancing techniques, refining the model’s ability to identify subtle signs of DR.
· SDRG-Net introduces a privacy-centric approach through Multi-Level Color Transformation (MLCT) encryption and integrates a disease-specific graph correlation network, ensuring precision while preserving patient data privacy.
· ICNN-IRDO merges deep learning with intelligent optimization algorithms, enabling robust diagnosis performance across diverse real-world datasets.
Each framework addresses a critical challenge in current AI diagnostics—from improving sensitivity and specificity to ensuring real-time privacy in Internet of Medical Things (IoMT) environments.
Unmatched Performance and Global Impact
When tested on leading datasets like EyePACS and Messidor, these AI models delivered exceptional results:
· 99.7% accuracy
· 100% sensitivity
· 100% specificity
Such results are not only academically validated—via peer-reviewed publications in reputed journals including Elsevier, Informatica, and IEEE—but also practically secured through multiple design and utility patents in India, solidifying the research’s intellectual property value and real-world applicability.
Taking AI from the Lab to the Field
What makes this innovation especially transformative is its real-world deployment potential. The frameworks are currently being integrated into solar-powered IoMT kiosks—smart, portable units capable of capturing retinal images, running AI analysis locally, and securely connecting with ophthalmologists via the cloud. These units are being piloted in rural India, where access to specialized eye care is often limited or non-existent.
“By bringing diagnostic capabilities directly to underserved areas, we’re enabling early detection and prevention of blindness in people who otherwise may never see a specialist,” said Dr. Poranki. “This is not just about AI. It’s about equitable access to healthcare.”
Building Ethical, Scalable, and Secure AI Systems
In an age of growing concerns over data privacy and algorithmic bias, Dr. Poranki’s frameworks emphasize security, trust, and scalability. By integrating privacy-preserving encryption, graph-based learning, and ensemble machine learning techniques, the models are designed to be both clinically trustworthy and scalable across regions and devices.
This next-generation AI approach aligns with the global need for ethical, explainable, and secure health technologies. It opens doors to cross-sectoral applications in other chronic disease screenings and IoMT deployments.
Meet the Visionary Behind the Innovation
Dr. Venkata Kotam Raju Poranki (PVK), Ph.D., is an AI researcher and technology leader with over 20 years of experience in software engineering and innovation. Currently serving as Program Manager at Zions Bank in Utah, USA, he bridges academic rigor with industry application—especially in secure healthcare and financial systems.
With this breakthrough, Dr. Poranki aims to advance his long-standing vision: to make AI-powered diagnostics affordable, ethical, and universally accessible.
Contact Information:
Dr. Venkata Kotam Raju Poranki (PVK), Ph.D.
7930 S 1000 E
Sandy, UT 84094, USA
+1 801 300 7949 (WhatsApp)
vporanki@gmail.com
