Optical Coherence Tomography-Based Artificial Intelligence in Ophthalmology

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.

• Section 1: Fundamentals of Optical Coherence Tomography and Artificial Intelligence1. Introduction to OCT and AI Integration2. Principles of Optical Coherence Tomography3. Basics of Artificial Intelligence in HealthcareSection 2: Techniques and Methods for OCT-based AI4. Preprocessing and Enhancement of OCT Images5. Machine Learning for OCT Data Analysis6. Deep Learning in OCT-based AISection 3: Applications and Case Studies7. OCT-based AI in Retinal Disease Diagnosis8. Glaucoma Management with OCT and AI9. Corneal Disease Assessment through OCT-based AI10. Future Directions and Challenges in OCT-based AISection 4: Expert Perspectives and Collaborations11. Collaborative Approach: Clinicians and Researchers Unite12. Global Perspectives in OCT-based AI13. Implementation Strategies for OCT-based AI14. Generative AI Applications in OCT Imaging