{"id":57429,"date":"2025-10-14T12:17:38","date_gmt":"2025-10-14T06:47:38","guid":{"rendered":"https:\/\/prevalentindia.in\/index.php\/2025\/10\/14\/dr-venkata-kotam-raju-porankis-ai-system-delivers-retinal-screening-to-the-last-mile\/"},"modified":"2025-10-14T12:17:38","modified_gmt":"2025-10-14T06:47:38","slug":"dr-venkata-kotam-raju-porankis-ai-system-delivers-retinal-screening-to-the-last-mile","status":"publish","type":"post","link":"https:\/\/prevalentindia.in\/index.php\/2025\/10\/14\/dr-venkata-kotam-raju-porankis-ai-system-delivers-retinal-screening-to-the-last-mile\/","title":{"rendered":"Dr. Venkata Kotam Raju Poranki\u2019s AI System Delivers Retinal Screening to the Last Mile"},"content":{"rendered":"
\n

New Delhi [India], October 14:<\/strong> <\/span>In a groundbreaking advancement poised to reshape diabetic eye care, Dr. Venkata Kotam Raju Poranki (PVK), Ph.D., has unveiled a suite of AI-powered frameworks designed to transform the diagnosis and management of\u00a0diabetic retinopathy (DR)<\/strong>\u2014 a condition threatening the vision of millions worldwide.<\/p>\n

With over\u00a0460 million people<\/strong>\u00a0living with diabetes, early detection of DR remains a critical challenge, especially in remote or under-resourced areas. Traditional screening methods rely heavily on manual analysis by ophthalmologists \u2014 a time-consuming, expensive process often unavailable to rural populations.<\/p>\n

That\u2019s the problem Dr. Poranki set out to solve during his Ph.D. research at\u00a0Koneru Lakshmaiah Education Foundation<\/strong>. The result? A pioneering AI architecture capable of delivering\u00a0precision, speed, privacy<\/strong>, and\u00a0accessibility<\/strong>\u00a0in DR screening, offering a vision of healthcare that\u2019s equitable and efficient.<\/p>\n

The AI Framework That Sees More Than Eyes<\/strong><\/p>\n

The research introduces four innovative frameworks that work in tandem to detect and grade DR from retinal images:<\/p>\n

\u25cfDRG-Net<\/strong>: Combines graph-based feature extraction with\u00a0XGBoost<\/strong>\u00a0to enhance classification accuracy, even in unbalanced datasets.<\/p>\n

\u25cfCEFNet<\/strong>: Utilizes\u00a0Iterative Random Forests<\/strong>\u00a0and advanced balancing techniques to improve feature representation and model generalization.<\/p>\n

\u25cfSDRG-Net<\/strong>: Adds a layer of\u00a0privacy and precision<\/strong>\u00a0with Multi-Level Color Transformation (MLCT) encryption and a disease-specific graph correlation network.<\/p>\n

\u25cfICNN-IRDO<\/strong>: Merges deep learning with optimization algorithms to achieve robust diagnostic performance across diverse datasets.<\/p>\n

Together, these models address longstanding limitations in medical AI \u2014 including poor performance in edge cases, lack of generalization, and data privacy concerns in Internet of Medical Things (IoMT<\/strong>) environments.<\/p>\n

Proven Accuracy, Unmatched Sensitivity<\/strong><\/p>\n

In trials using the\u00a0EyePACS<\/strong>\u00a0and\u00a0Messidor<\/strong>\u00a0datasets \u2014 two industry benchmarks \u2014 Dr. Poranki\u2019s AI models delivered\u00a099.7% accuracy<\/strong>, and\u00a0100% sensitivity and specificity<\/strong>\u00a0across multiple stages of diabetic retinopathy. This level of performance positions the system as one of the most reliable automated DR grading tools to date.<\/p>\n

Each model has been rigorously peer-reviewed and published in leading journals including\u00a0Elsevier, Informatica, and IEEE<\/strong>, with supporting\u00a0design and utility patents<\/strong>\u00a0granted in India.<\/p>\n

From Research to Real-World Impact<\/strong><\/p>\n

But the real story lies beyond the lab. Dr. Poranki\u2019s frameworks are now being\u00a0integrated into real-time clinical systems and rural health kiosks<\/strong>\u00a0across India. These solar-powered IoMT units can:<\/p>\n

\u25cfCapture high-resolution retinal images,<\/p>\n

\u25cfAnalyze them locally using onboard AI, and<\/p>\n

\u25cfSecurely transmit results to ophthalmologists via the cloud.<\/p>\n

The goal is clear: to bring\u00a0preventive eye care to the doorstep<\/strong>\u00a0of people who otherwise lack access, ensuring early detection and timely intervention before irreversible vision loss occurs.<\/p>\n

\u201cThis is about more than technology,\u201d says Dr. Poranki. \u201cIt\u2019s about equity. With AI, we can finally bridge the gap between rural populations and high-quality eye care.\u201d<\/p>\n

A Trusted Future for Healthcare AI<\/strong><\/p>\n

What sets Dr. Poranki\u2019s work apart is a\u00a0dual commitment to security and scalability<\/strong>. By blending graph-based machine learning with privacy-preserving encryption, his architecture builds trust among clinicians while empowering patients to take control of their health data.<\/p>\n

This is especially critical in the age of telemedicine and IoMT, where data privacy, accuracy, and real-time processing are non-negotiable.
\n<\/p>\n

About Dr. Venkata Kotam Raju Poranki (PVK)<\/strong><\/p>\n

With over\u00a020 years of experience<\/strong>\u00a0in software engineering and product innovation, Dr. Poranki currently serves as\u00a0Program Manager at Zions Bank in Utah, USA<\/strong>, where he applies his AI expertise to secure healthcare and financial systems. His academic and professional journeys are unified by a single mission: to make\u00a0AI-powered diagnostics affordable, ethical, and globally accessible<\/strong>.<\/p>\n

Media Contact:<\/strong><\/p>\n

Dr. Venkata Kotam Raju Poranki (PVK), Ph.D.<\/strong>
\n7930 S 1000 E
\nSandy, UT 84094, USA
\n+1 801 300 7949 (WhatsApp)
\nvporanki@gmail.com<\/u><\/a><\/p>\n

Disclaimer: <\/strong>This press release is for general information purposes only and should not be construed as professional medical advice. Always consult your doctor before taking any step.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

New Delhi [India], October 14: In a groundbreaking advancement poised to reshape diabetic eye care, Dr. Venkata Kotam<\/p>\n","protected":false},"author":1,"featured_media":57430,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[76],"tags":[577],"class_list":["post-57429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health","tag-health"],"_links":{"self":[{"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/posts\/57429","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/comments?post=57429"}],"version-history":[{"count":0,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/posts\/57429\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/media\/57430"}],"wp:attachment":[{"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/media?parent=57429"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/categories?post=57429"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prevalentindia.in\/index.php\/wp-json\/wp\/v2\/tags?post=57429"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}