Diagnosis and Analysis of Glaucoma Using AI and ML for Medical Imaging

Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging offers a comprehensive overview of glaucoma--a progressive, often symptomless eye disease that is especially challenging in developing regions. The book underscores the critical importance of early detection and details how artificial intelligence and machine learning are transforming diagnosis and care. Readers will find in-depth discussions about the underlying causes, common symptoms, and the hurdles faced in identifying glaucoma. By weaving together clinical insights and technological advancements, the book demonstrates how new tools can slow disease progression and improve patient outcomes in diverse healthcare environments. In addition to foundational medical knowledge, the publication features practical case studies and highlights accessible AI solutions for healthcare workers, NGOs, students, and researchers tackling diagnostic gaps in resource-limited settings. Its clear, curriculum-aligned content makes it relevant for professionals, students, and policymakers.