Generative Artificial Intelligence in Ophthalmology, 2 Volume Set
1st Edition
Will be published approx. on 17. August 2026
Book
Hardback
896 pages
978-1-394-35817-5 (ISBN)
Description
Empower your clinical practice to lead the future of vision science with this guide to mastering generative AI strategies that transform complex imaging data into high-precision, ethical diagnostic solutions.
Generative AI is a game-changer for both artificial intelligence and healthcare, especially in the field of vision science. As ophthalmologists and other eye care professionals work toward increasing the accuracy of diagnoses and treatment outcomes to improve patient-centered service delivery, generative AI is showing emerging potential as a tool to accomplish these goals. Generative AI, particularly generative adversarial networks, shows potential as a solution for image enhancement, data management, and personalized patient care.
This cross-disciplinary work addresses not only the technical challenges in building effective AI systems but also the ethical considerations of using these technologies in clinical scenarios. The book bridges the knowledge gap between AI researchers and healthcare professionals by breaking down complex AI concepts into clear, accessible language, providing practical examples of real-world applications, and guiding readers through the??ethical and regulatory challenges of integrating AI into clinical practice. It demonstrates how advanced AI can be applied effectively in ophthalmology to improve diagnostics, treatment planning, and??accessibility.
Generative AI is a game-changer for both artificial intelligence and healthcare, especially in the field of vision science. As ophthalmologists and other eye care professionals work toward increasing the accuracy of diagnoses and treatment outcomes to improve patient-centered service delivery, generative AI is showing emerging potential as a tool to accomplish these goals. Generative AI, particularly generative adversarial networks, shows potential as a solution for image enhancement, data management, and personalized patient care.
This cross-disciplinary work addresses not only the technical challenges in building effective AI systems but also the ethical considerations of using these technologies in clinical scenarios. The book bridges the knowledge gap between AI researchers and healthcare professionals by breaking down complex AI concepts into clear, accessible language, providing practical examples of real-world applications, and guiding readers through the??ethical and regulatory challenges of integrating AI into clinical practice. It demonstrates how advanced AI can be applied effectively in ophthalmology to improve diagnostics, treatment planning, and??accessibility.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
ISBN-13
978-1-394-35817-5 (9781394358175)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Binod Kumar Mishra | Abhishek Kumar | K. Mariyappan
Generative Artificial Intelligence in Ophthalmology
E-Book
05/2026
1st Edition
Wiley-Scrivener
€375.99
Available for download
Persons
Binod Kumar Mishra, PhD is an Associate Professor at Chandigarh University with more than 18 years of experience. He has published ten papers in reputed peer-reviewed journals and international conferences and holds five patents. His research interests include theoretical computer science, natural language processing, and machine learning.
Abhishek Kumar, PhD is an Associate Professor at Chandigarh University with more than 11 years of experience. He has authored seven books, edited 30 books, and has more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. His research interests include artificial intelligence, renewable energy, image processing, computer vision, data mining, and machine learning.
K. Mariyappan, PhD is a Professor in the Department of Computer Science and Engineering at Chandigarh University with more than 22 years of experience. He has published 18 papers in reputed journals and conferences and holds two patents. His expertise lies in IoT, wireless sensor networks, and information security.
Vibha Tiwari, PhD is a Professor in the Department of Electronics and Communication Engineering and serves as the Controller of Examinations at Medi-Caps University with more than 22 years of academic experience. She has published ten papers in reputed peer-reviewed journals and international conferences and holds four patents. Her research interests encompass the Internet of Things, embedded systems, image processing, and machine learning.
Pramod Singh Rathore, PhD is an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University with more than 11 years of academic teaching experience. He has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences. His research interests include NS2, computer networks, and data mining.
Gaur Hari Das, PhD is an Associate Consultant at the B.M. Birla Heart Research Centre. He has more than 120 publications in international journals and conferences of repute. His key area of interest is total arterial coronary artery bypass surgery, where he focuses on advancing surgical techniques and improving patient outcomes.
Abhishek Kumar, PhD is an Associate Professor at Chandigarh University with more than 11 years of experience. He has authored seven books, edited 30 books, and has more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. His research interests include artificial intelligence, renewable energy, image processing, computer vision, data mining, and machine learning.
K. Mariyappan, PhD is a Professor in the Department of Computer Science and Engineering at Chandigarh University with more than 22 years of experience. He has published 18 papers in reputed journals and conferences and holds two patents. His expertise lies in IoT, wireless sensor networks, and information security.
Vibha Tiwari, PhD is a Professor in the Department of Electronics and Communication Engineering and serves as the Controller of Examinations at Medi-Caps University with more than 22 years of academic experience. She has published ten papers in reputed peer-reviewed journals and international conferences and holds four patents. Her research interests encompass the Internet of Things, embedded systems, image processing, and machine learning.
Pramod Singh Rathore, PhD is an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University with more than 11 years of academic teaching experience. He has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences. His research interests include NS2, computer networks, and data mining.
Gaur Hari Das, PhD is an Associate Consultant at the B.M. Birla Heart Research Centre. He has more than 120 publications in international journals and conferences of repute. His key area of interest is total arterial coronary artery bypass surgery, where he focuses on advancing surgical techniques and improving patient outcomes.