Intelligent Ophthalmic Imaging Technology

Erscheinungsjahr 2027
ISBN: 978-981-9253-54-8
Verlag: Springer

Buch, Englisch, 256 Seiten, Format (B × H): 155 mm x 235 mm

With the rapid development of technology, the application of Artificial Intelligence (AI) in the medical field is becoming increasingly widespread. As an important branch of medicine, ophthalmology has seen revolutionary changes in disease diagnosis and treatment through its integration with AI.

This book first introduces the basic overview of ophthalmology and AI, elaborating on the importance of ophthalmology, anatomical structure and function, common ophthalmic diseases, and diagnostic methods. It then focuses on the combination of ophthalmic imaging and AI technology, covering the overview of ophthalmic imaging, image quality control, structural segmentation, and disease diagnosis. Furthermore, the book explores the application of intelligent ophthalmic imaging, including intelligent analysis of anterior and posterior segment ocular images, intelligent assistance for ophthalmic surgery, and joint analysis of the eye with other organs. Finally, it provides an in-depth analysis and discussion on the development and prospects of ophthalmic AI.

This book not only helps readers gain a comprehensive understanding of ophthalmic AI but also provides valuable references for in-depth research in related fields.

Zielgruppe

Research

Autoren/Hrsg.

Liu Jiang, Jimmy

Li, Heng

Higashita, Risa

Zhao, Yitian

Zhang, Yinglin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

.- Part I:Overview of Ophthalmic Artificial Intelligence.- Background of Ophthalmology.- Overview of Ophthalmic Artificial Intelligence.

.- Part II:Ophthalmic Imaging and Artificial Intelligence Technology.- Overview of Ophthalmic Imaging.- Ophthalmic Image Quality Control.- Ophthalmic Structure Segmentation.- Ophthalmic Disease Diagnosis.

.- Part III:Clinical Application of Intelligent Ophthalmic Imaging.- Ophthalmic Application Scenarios.- Intelligent Analysis of Anterior Segment Images.- Intelligent Analysis of Posterior Segment Images.- Intelligent Assistance for Ophthalmic Surgery.- Joint Analysis of Eye and Other Organs.- Development and Prospects of Ophthalmic AI.

Über Autor(innen)

Jimmy Liu Jiang, Chair Professor in the Department of Computer Science and Engineering, Program Director of Artificial Intelligence at the Southern University of Science and Technology (SUSTech), and Distinguished Professor at SUSTech Hospital. He previously served as Chair of the IEEE Engineering in Medicine and Biology Society (EMBS) Singapore Chapter, Principal Scientist of the Singapore Eye Research Institute, and Director of the Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences. In AI ophthalmology research, he has published more than 500 research papers covering AI-based ophthalmic image processing, AI ophthalmic video analysis, and AI-guided ophthalmic surgical navigation. For AI in education, he has taught core university courses and authored five supporting textbooks: Introduction to Artificial Intelligence, Multimedia Computing for Artificial Intelligence, Introduction to Medical Artificial Intelligence, Intelligent Ophthalmic Imaging Technology, and Introduction to AI in Education. He has been consecutively honored as one of SUSTech’s Most Popular Teachers among undergraduate graduates for the past three years. Internationally, he is an Advisor to the UNESCO (United Nations Educational, Scientific and Cultural Organization) International Centre for Higher Education Innovation. His three online micro-credential courses AI+Medicine, AI+Education, and AI+Ophthalmic Healthcare are hosted on the UNESCO IIOE platform, available in English, French, Spanish and Russian.