The after-conference proceeding of the AIR 2025 will be published in SCOPUS indexed Springer book series "Lecture Notes in Networks and Systems"

Mr. Kiran Veernapu

Seeing the Future: AI’s Impact on Eye Disease Diagnosis

Abstract:

Imagine a world where diagnosing complex eye diseases is faster, more accurate, and accessible to all — thanks to Artificial Intelligence. In today’s healthcare landscape, AI is no longer just a futuristic concept; it's a powerful reality transforming how we analyze medical images like CT scans, MRIs, ultrasounds, and X-rays. In this session, we’ll dive into how machine learning and deep learning technologies are empowering healthcare professionals to detect tumors, lesions, and other critical anomalies with incredible precision. I’ll take you on a journey through the latest breakthroughs in AI-driven diagnosis of retinal diseases — including diabetic retinopathy, age-related macular degeneration, and more. We’ll explore not only the cutting-edge methodologies but also the challenges and ethical considerations shaping this exciting field. Whether you’re a clinician, researcher, or technology enthusiast, you’ll leave with a fresh perspective on how AI is redefining the future of ophthalmic care — and why the time to embrace it is now.