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

Mohammad Sufian Badar

• Publisher: Academic Press
• Year: 2026
• Topic: Biological Sciences
• eBook ISBN:
  9780443449123
• Subtopic: Biology
• Index: Biological Sciences

Diagnosis and Analysis of Glaucoma Using AI and ML for Medical Imaging highlights the importance of early detection while also discussing and updating on current treatment options to slow disease progression, emphasizing the role of artificial intelligence (AI) and machine learning (ML) in improving diagnosis and management. Sections explore causes, symptoms, diagnostic challenges, and treatment strategies for glaucoma, integrating insights on how AI and ML models can enhance healthcare delivery. Practical case studies and discussions on how accessible AI tools can be utilized by healthcare workers, NGOs, students, and researchers to address diagnostic barriers prevalent in resource-limited settings are included.This targeted resource is aimed at increasing understanding of this often asymptomatic, progressive eye disease, particularly in developing countries. Healthcare professionals, students, and policymakers will find this resource valuable with its straightforward, easy-to-understand, curriculum-aligned content. Its emphasis on practical applications and awareness-building makes it a valuable tool for advancing glaucoma care and fostering interdisciplinary collaboration in eye health. - Demonstrates how AI and ML are applied in glaucoma diagnosis and management - Employs clear, precise language that makes complex concepts accessible to readers without a computer science background - Provides detailed case studies and implementation guidelines, enabling researchers and practitioners to translate theoretical AI techniques into real-world diagnostic tools

Table of contents

• Cover image
• Title page
• Copyright
• Dedication
• Contents
• Contributors
• Preface
• Acknowledgment
• CHAPTER 1 Epidemiology of glaucoma and role of glaucoma screening in diagnosis
• CHAPTER 2 Anatomy and physiology of eye
• CHAPTER 3 Impact of current glaucoma medication of ocular surface
• CHAPTER 4 Applications of artificial intelligence techniques in healthcare and disease treatment
• CHAPTER 5 Monitoring glaucoma progression
• CHAPTER 6 Challenges of glaucoma diagnosis for developing countries
• CHAPTER 7 Integrating multiple machine learning and optimization techniques for superior disease prediction
• CHAPTER 8 Diagnosis and care of glaucoma patients in developing countries
• CHAPTER 9 Genetics, types, and risk factors associated with glaucoma
• CHAPTER 10 Glaucoma imaging techniques and its classification using artificial intelligence
• CHAPTER 11 The impact of artificial intelligence and machine learning in the diagnosis and management of glaucoma
• CHAPTER 12 Accuracy of glaucoma diagnosis by artificial intelligence and machine learning in screening and clinical practice
• CHAPTER 13 Necessity of making glaucoma diagnosis more accessible in developing countries
• CHAPTER 14 Future prospects necessity of making glaucoma diagnosis more accessible in developing countries
• Index