Optical Coherence Tomography-Based Artificial Intelligence in Ophthalmology
Will be published approx. on 1. December 2026
Book
Paperback/Softback
350 pages
978-0-443-30289-3 (ISBN)
Description
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. 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.
Researchers will find tactics that help them make impactful contributions, collaborate effectively, and navigate the complexities of this interdisciplinary domain. In addition, the book provides practical insights, real-world applications, and evidence-based information that enables clinicians to leverage OCT-based AI for improved patient care, diagnostic accuracy, and operational efficiency.
Researchers will find tactics that help them make impactful contributions, collaborate effectively, and navigate the complexities of this interdisciplinary domain. In addition, the book provides practical insights, real-world applications, and evidence-based information that enables clinicians to leverage OCT-based AI for improved patient care, diagnostic accuracy, and operational efficiency.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 235 mm
Width: 191 mm
Weight
450 gr
ISBN-13
978-0-443-30289-3 (9780443302893)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Kai Jin, PhD, is a doctor and research scientist of the Eye Center, the Second Affiliated Hospital, Zhejiang University School of Medicine. His current research interests include clinical transformation of AI diagnosis and treatment in ophthalmology and retinal diseases. Dr Jin's outstanding publication record includes 85 scientific papers in globally recognized journals of ophthalmology and medical imaging. He obtained a series of independent intellectual property rights, including authorized national invention patents and 19 software copyrights, and edited 1 monograph on ophthalmology precision medicine, ranked on Expertscape in the top 0.39% in Deep Learning research and top 7% of the world in Macular Degeneration research. He currently serves as Vice Chairman of Ophthalmology Youth Committee of Zhejiang Society of Mathematical Medicine and is a member of the Microcirculation Information and Technology Committee of the Chinese Society of Microcirculation. In 2023, Dr. Jin received the Wiley Top Cited Article Award, National Scholarship.
Andrzej Grzybowski, M.D., Ph.D., MBA, MAE, is a Professor of Ophthalmology at the Institute for Research in Ophthalmology. He has been an active editor, editor in chief, and author of more than 500 peer-reviewed international publications and over 50 book chapters as well as reviewer for more than 20 journals. He serves as editorial board member of several international journals, including the American Journal of Ophthalmology, and is a lifelong member of the European Academy of Ophthalmology. As the only Polish ophthalmologist he was included in the top 2% ranking of world-best scientists prepared by Stanford University. In 2022 he was awarded Officers' Cross of the Order of Polonia Restituta for outstanding achievements in research and teaching and support for international scientific cooperation by the President of Poland, a ranking of the Top 100 most influential people in the world of ophthalmology.
Andrzej Grzybowski, M.D., Ph.D., MBA, MAE, is a Professor of Ophthalmology at the Institute for Research in Ophthalmology. He has been an active editor, editor in chief, and author of more than 500 peer-reviewed international publications and over 50 book chapters as well as reviewer for more than 20 journals. He serves as editorial board member of several international journals, including the American Journal of Ophthalmology, and is a lifelong member of the European Academy of Ophthalmology. As the only Polish ophthalmologist he was included in the top 2% ranking of world-best scientists prepared by Stanford University. In 2022 he was awarded Officers' Cross of the Order of Polonia Restituta for outstanding achievements in research and teaching and support for international scientific cooperation by the President of Poland, a ranking of the Top 100 most influential people in the world of ophthalmology.
Content
Section 1: Fundamentals of Optical Coherence Tomography and Artificial Intelligence
1. Introduction to OCT and AI Integration
2. Principles of Optical Coherence Tomography
3. Basics of Artificial Intelligence in Healthcare
Section 2: Techniques and Methods for OCT-based AI
4. Preprocessing and Enhancement of OCT Images
5. Machine Learning for OCT Data Analysis
6. Deep Learning in OCT-based AI
Section 3: Applications and Case Studies
7. OCT-based AI in Retinal Disease Diagnosis
8. Glaucoma Management with OCT and AI
9. Corneal Disease Assessment through OCT-based AI
10. Future Directions and Challenges in OCT-based AI
Section 4: Expert Perspectives and Collaborations
11. Collaborative Approach: Clinicians and Researchers Unite
12. Global Perspectives in OCT-based AI
13. Implementation Strategies for OCT-based AI
14. Generative AI Applications in OCT Imaging
1. Introduction to OCT and AI Integration
2. Principles of Optical Coherence Tomography
3. Basics of Artificial Intelligence in Healthcare
Section 2: Techniques and Methods for OCT-based AI
4. Preprocessing and Enhancement of OCT Images
5. Machine Learning for OCT Data Analysis
6. Deep Learning in OCT-based AI
Section 3: Applications and Case Studies
7. OCT-based AI in Retinal Disease Diagnosis
8. Glaucoma Management with OCT and AI
9. Corneal Disease Assessment through OCT-based AI
10. Future Directions and Challenges in OCT-based AI
Section 4: Expert Perspectives and Collaborations
11. Collaborative Approach: Clinicians and Researchers Unite
12. Global Perspectives in OCT-based AI
13. Implementation Strategies for OCT-based AI
14. Generative AI Applications in OCT Imaging