Artificial Intelligence And Ophthalmology
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Artificial Intelligence In Ophthalmology
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Author : Andrzej Grzybowski
language : en
Publisher: Springer Nature
Release Date : 2021-10-13
Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-13 with Medical categories.
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
Artificial Intelligence And Ophthalmology
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Author : Parul Ichhpujani
language : en
Publisher: Springer Nature
Release Date : 2021-04-22
Artificial Intelligence And Ophthalmology written by Parul Ichhpujani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-22 with Medical categories.
The book helps to explore the vast expanse of artificial intelligence-based scientific content that has been published in the last few years. Ophthalmology has recently undergone a silent digital revolution, with machine learning and deep learning algorithms consistently outperforming human graders in studies published across the globe. It is high time that a resource that breaks this information behemoth into easily digestible bits comes to the fore. This book simplifies the complex mechanics of algorithms used in ophthalmology and vision science applications. It also tries to address potential ethical issues with machines entering our clinics and patients’ lives. Overall it is essential reading for ophthalmologists/eye care professionals interested in artificial intelligence and everyone who is looking for a deep dive into the exciting world of digital medicine.
Artificial Intelligence In Ophthalmology
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Author : Andrzej Grzybowski
language : en
Publisher:
Release Date : 2021
Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
Artificial Intelligence In Ophthalmology
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Author : Andrzej Grzybowski
language : en
Publisher: Springer Nature
Release Date : 2025-08-23
Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Medical categories.
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology, 2nd edition has been fully revised with the latest advancements in the field. New chapters highlight topics such as the threats to the validity of the predictive system performance for ophthalmology, challenges in the deployment of AI for diabetic retinopathy screening and the use of AI in calculating the IOL power to name just a few. This book meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
The Role Of Artificial Intelligence In Ophthalmology
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Author : Dr. Ketaki Tushar Bhat(Shah)
language : en
Publisher: Addition Publishing House
Release Date : 2024-09-23
The Role Of Artificial Intelligence In Ophthalmology written by Dr. Ketaki Tushar Bhat(Shah) and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Antiques & Collectibles categories.
Artificial intelligence (AI) is transforming the field of medicine, and ophthalmology is no exception. "The Role of AI in Ophthalmology" explores the growing use of AI technologies in diagnosing, treating, and managing eye diseases. AI-powered tools, particularly deep learning algorithms, are revolutionizing early detection in conditions like diabetic retinopathy, age-related macular degeneration, and glaucoma, offering more accurate, timely diagnoses than traditional methods. The book delves into how machine learning models are trained on vast amounts of imaging data, such as retinal scans, to identify patterns and abnormalities with a precision that rivals expert clinicians. AI’s ability to analyze large datasets quickly and accurately opens new doors for personalized care, enabling early intervention that can prevent vision loss. The text also examines the role of AI in teleophthalmology, where remote diagnosis and management can be carried out in regions lacking specialized healthcare providers. In addition to its diagnostic potential, the book discusses how AI is being used to enhance surgical techniques and patient management. For instance, robotic surgery systems guided by AI are helping surgeons perform more precise and less invasive procedures. The ethical considerations of AI in ophthalmology are also addressed, including issues of data privacy, algorithmic transparency, and the potential impact on the doctor-patient relationship. Overall, this book provides an insightful look at how AI is reshaping the future of eye care.
Big Data And Artificial Intelligence In Ophthalmology
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Author : Tae-im Kim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-17
Big Data And Artificial Intelligence In Ophthalmology written by Tae-im Kim and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Medical categories.
Big Data And Artificial Intelligence In Ophthalmology Clinical Application And Future Exploration
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Author : Tae-im Kim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-27
Big Data And Artificial Intelligence In Ophthalmology Clinical Application And Future Exploration written by Tae-im Kim and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Medical categories.
Application Of Multimodal Imaging Combined With Artificial Intelligence In Eye Diseases
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Author : Xin Huang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-18
Application Of Multimodal Imaging Combined With Artificial Intelligence In Eye Diseases written by Xin Huang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Science categories.
Efficient Artificial Intelligence Ai In Ophthalmic Imaging
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Author : Yanda Meng
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-07
Efficient Artificial Intelligence Ai In Ophthalmic Imaging written by Yanda Meng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Medical categories.
Ophthalmic imaging techniques, such as optical coherence tomography (OCT), OCT angiography (OCTA), fundus photography, and fluorescein angiography, generate vast amounts of visual data, allowing for a detailed examination of the eye's structure and function. These images provide invaluable insights into the presence and progression of various ocular diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma. While ophthalmologists possess expertise in interpreting these images, the manual analysis of large datasets can be time-consuming, prone to errors, and subject to inter-observer variability. Artificial Intelligence (AI) based approaches have emerged as promising tools to augment the diagnostic capabilities of ophthalmologists, enabling faster and more accurate assessments. This proposal aims to explore and develop innovative approaches, including but not limited to transfer learning, activate learning, semi-supervised learning, weakly supervised learning, meta-learning, graph neural networks, multimodal learning, and federated learning, etc. to enhance the efficiency and effectiveness of AI in ophthalmic imaging. This collection aims to promote research that improves the accuracy, scalability, interpretability, and generalization of AI models for ophthalmic imaging. This Research Topic welcomes manuscripts on the following themes: ● Annotation-efficient AI: Manual data annotation is a labor-intensive and time consuming process that often poses challenges in terms of scalability, cost, and subjectivity. This topic aims to explore innovative approaches and techniques to develop annotation-efficient AI models that can leverage minimal data annotation while maintaining high performance and generalization, such as activate learning, semi-/weakly/un-/self-supervised learning, etc.
Proceedings Of The Second International Conference On Information Management And Machine Intelligence
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Author : Dinesh Goyal
language : en
Publisher: Springer Nature
Release Date : 2021-01-22
Proceedings Of The Second International Conference On Information Management And Machine Intelligence written by Dinesh Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Technology & Engineering categories.
This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 – 25 July 2020. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.