Artificial Intelligence Applications In Chronic Ocular Diseases
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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.
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.
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.
Chronic Liver Disease New Targets And New Mechanisms
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Author : Jinhang Gao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-16
Chronic Liver Disease New Targets And New Mechanisms written by Jinhang Gao 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 2022-08-16 with Science categories.
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
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
Deep Learning In Personalized Healthcare And Decision Support
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Author : Harish Garg
language : en
Publisher: Elsevier
Release Date : 2023-07-20
Deep Learning In Personalized Healthcare And Decision Support written by Harish Garg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-20 with Science categories.
Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies
Precision Health In The Digital Age Harnessing Ai For Personalized Care
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Author : Papadopoulou, Paraskevi
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Precision Health In The Digital Age Harnessing Ai For Personalized Care written by Papadopoulou, Paraskevi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Medical categories.
The evolving healthcare landscape is now challenging healthcare providers and researchers to deliver personalized care considering individual genetic, lifestyle, and environmental factors. To tailor treatments and interventions to each patient's unique profile in a timely manner, they need to harness the vast amounts of readily available data. Artificial intelligence (AI) has immense potential to revolutionize precision health by enabling the analysis of large datasets and generating actionable insights for personalized care. However, implementing AI in healthcare comes with challenges, including ethical considerations, regulatory frameworks, and the need for healthcare professionals to develop competencies in AI technologies. Precision Health in the Digital Age: Harnessing AI for Personalized Care offers a comprehensive solution for healthcare professionals, researchers, and policymakers seeking to leverage AI in precision health. The book explores the latest advancements in AI technologies, showcases their applications in precision medicine, and provides a roadmap for integrating AI into healthcare systems. It offers practical insights for improving patient outcomes through case studies and real-world examples of successful implementations of AI-driven precision medicine and health solutions.
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.