Efficient Artificial Intelligence Ai In Ophthalmic Imaging
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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.
Artificial Intelligence In Ophthalmology
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Author : Andrzej Grzybowski
language : en
Publisher: Springer
Release Date : 2022-10-15
Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-15 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 In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Digital Eye Care And Teleophthalmology
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Author : Kanagasingam Yogesan
language : en
Publisher: Springer Nature
Release Date : 2023-06-19
Digital Eye Care And Teleophthalmology written by Kanagasingam Yogesan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-19 with Medical categories.
This book describes digital ophthalmology and telemedicine applications for both front of the eye and retina. It includes technical issues, digital imaging, what clinical parameters to use, which technologies are suitable, and collective experiences of practitioners in different parts of the world practicing a wide range of digital eye care delivery. The main purpose of this book is to provide adequate information to clinicians and other health professionals who are involved in eye care delivery to assess how digital health in ophthalmology might be applied to their working practice, how digital screenings are performed, and to learn about virtual image reading. Many of the chapters are also helpful to health service managers, imaging specialists, and information technology staff. Digital Eye Care and Teleophthalmology: A Practical Guide to Applications examines digital eye care to provide state of art ophthalmic services. It is an essential resource for professionals involved in eye care seeking to develop or improve their digital applications in daily practice.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Artificial Intelligence Applications In Chronic Ocular Diseases
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Author : Wei Chi
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-23
Artificial Intelligence Applications In Chronic Ocular Diseases written by Wei Chi 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 2024-04-23 with Science categories.
With the acceleration of urbanization and aging processes, chronic ocular diseases have become a critical threat to the vision health of the global population . Chronic ocular diseases include a series of disorders and conditions that involve long-term defects in both anterior and posterior segments of the eye, such as cataract, glaucoma, keratoconus (KC), diabetic retinopathy (DR), and age-related macular degeneration (AMD). However, it is still challenging to understand the mechanisms of these diseases and to discover new and reliable biomarkers to identify the diseases and their severities. Moreover, conventional methods in clinical societies are not as effective or efficient as expected, especially in the era of artificial intelligence.
Ophthalmic Medical Image Analysis
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Author : Bhavna Antony
language : en
Publisher: Springer Nature
Release Date : 2023-09-15
Ophthalmic Medical Image Analysis written by Bhavna Antony and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-15 with Computers categories.
This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.
Concepts Of Artificial Intelligence And Its Application In Modern Healthcare Systems
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Author : Deepshikha Agarwal
language : en
Publisher: CRC Press
Release Date : 2023-07-31
Concepts Of Artificial Intelligence And Its Application In Modern Healthcare Systems written by Deepshikha Agarwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
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.
Advances In Computer Vision From Deep Learning Models To Practical Applications
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Author : Hancheng Zhu
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Advances In Computer Vision From Deep Learning Models To Practical Applications written by Hancheng Zhu 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 2025-05-26 with Science categories.
The field of computer vision has experienced remarkable progress in recent years, largely attributed to the unprecedented advancements in deep learning models and their practical applications across diverse domains. This research topic is dedicated to presenting and exploring the latest developments in computer vision, with a particular emphasis on the transition from theoretical deep learning models to their real-world applications. This research topic focuses on the practical application of deep learning models in computer vision, translating theoretical advancements into real-world solutions. It offers a platform to share success stories and case studies illustrating the effective deployment of such models in areas like medical imaging, remote sensing, and multimedia affective computing. Furthermore, with the importance of interpretability and transparency in deep learning models emphasized, these models become more complex and understanding their decision-making processes is crucial.