Optical Coherence Tomography-based Artificial Intelligence in Ophthalmology offers a comprehensive, practical, and up-to-date resource, equipping readers with the knowledge and tools necessary to excel in the emerging field of OCT-based AI in ophthalmology. It empowers researchers to make impactful contributions, collaborate effectively, and navigate the complexities of this interdisciplinary domain, while providing practical insights, real-world applications, and evidence-based information to enable clinicians to leverage OCT-based AI for improved patient care, diagnostic accuracy, and operational efficiency. The book, comprised of four sections, covers the fundamentals of Optical Coherence Tomography and Artificial Intelligence, presents techniques and methods for OCT-based AI, reviews applications and case studies, and provides expert perspectives and collaborations. From enhancing ophthalmology patient outcomes to collaborating effectively with the research community, this book empowers users to revolutionize patient care. Explains how Optical Coherence Tomography and Artificial Intelligence synergize in ophthalmology to transform ophthalmic practice Provides practical insights, case studies, and implementation strategies to harness the combined potential of OCT and AI for accurate diagnostics and enhanced patient care Examines how OCT-based AI improves diagnostic accuracy, streamlines workflows, and guides treatment decisions