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Author : Xin Huang,Yu-Chen Chen,Vijaya Prakash Krishnan Muthaiah,Zhi Wen
Publisher : Frontiers Media SA
Page : 202 pages
File Size : 48,6 Mb
Release : 2023-10-18
Category : Science
ISBN : 9782832536100
Author : Andrzej Grzybowski
Publisher : Springer Nature
Page : 280 pages
File Size : 54,9 Mb
Release : 2021-10-13
Category : Medical
ISBN : 9783030786014
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.
Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 44,7 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782
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 implications for 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.
Author : Wei Chi,Weihua Yang, Peirong Lu,Yanwu Xu ,Huiying Liu
Publisher : Frontiers Media SA
Page : 365 pages
File Size : 44,6 Mb
Release : 2024-04-23
Category : Science
ISBN : 9782832548394
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.
Author : Suresh, Annamalai,Udendhran, R.,Vimal, S.
Publisher : IGI Global
Page : 294 pages
File Size : 46,6 Mb
Release : 2020-06-26
Category : Computers
ISBN : 9781799835929
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Author : Alex A.T. Bui,Ricky K. Taira
Publisher : Springer Science & Business Media
Page : 454 pages
File Size : 42,7 Mb
Release : 2009-12-01
Category : Technology & Engineering
ISBN : 9781441903853
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
Author : Zhenzhen Liu,Xiangjia Zhu,Jiangyue Zhao,Haotian Lin,Ying Han
Publisher : Frontiers Media SA
Page : 550 pages
File Size : 43,6 Mb
Release : 2022-11-09
Category : Medical
ISBN : 9782832504659
Author : Peng Xiao,Claude Boccara,Kate Grieve,Yali Jia
Publisher : Frontiers Media SA
Page : 222 pages
File Size : 45,6 Mb
Release : 2022-12-06
Category : Medical
ISBN : 9782832508923
Author : Sandeep Saxena,Gemmy Cheung,Timothy Y.Y. Lai,Srinivas R. Sadda
Publisher : Springer Nature
Page : 227 pages
File Size : 55,6 Mb
Release : 2023-01-01
Category : Medical
ISBN : 9789811973079
The book focuses on diabetic macular edema and provides comprehensive practical knowledge on the subject. This timely book summarizes all the aspects of diabetic macular edema. The book is edited by leading authorities of vitreoretinal diseases having expertise in diabetic macular edema. It comprises over dozen chapters, authored by a subject authority in the world. Chapters provide diagnostic, medical and surgical approach. The book is clinically relevant, covers application of the latest clinical trials as well as application of novel imaging technologies. It includes uniquely structured chapters for easy learning. The book is beneficial to ophthalmic resident doctors, retina fellows and practicing retina specialists throughout the world.
Author : Seven Publicações
Publisher : Seven Editora
Page : 2526 pages
File Size : 46,7 Mb
Release : 2024-06-21
Category : Antiques & Collectibles
ISBN : 9786584976467
Author : Michael Mahler
Publisher : Academic Press
Page : 300 pages
File Size : 50,8 Mb
Release : 2021-03-12
Category : Science
ISBN : 9780323854320
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Author : Peter Libby
Publisher : Elsevier Health Sciences
Page : 2473 pages
File Size : 51,6 Mb
Release : 2021-10-15
Category : Medical
ISBN : 9780323824712
Current, comprehensive, and evidence-based Braunwald’s Heart Disease remains the most trusted reference in the field and the leading source of reliable cardiology information for practitioners and trainees worldwide. The fully updated 12th Edition continues the tradition of excellence with dependable, state-of-the-art coverage of new drugs, new guidelines, more powerful imaging modalities, and recent developments in precision medicine that continue to change and advance the practice of cardiovascular medicine. Written and edited by global experts in the field, this award-winning text is an unparalleled multimedia reference for every aspect of this complex and fast-changing area. Offers balanced, dependable content on rapidly changing clinical science, clinical and translational research, and evidence-based medicine. Includes 76 new contributing authors and 14 new chapters that cover Artificial intelligence in Cardiovascular Medicine; Wearables; Influenza, Pandemics, COVID-19, and Cardiovascular Disease; Tobacco and Nicotine Products in Cardiovascular Disease; Cardiac Amyloidosis; Impact of the Environment on Cardiovascular Health, and more. Features a new introductory chapter Cardiovascular Disease: Past, Present, and Future by Eugene Braunwald, MD, offering his unique, visionary approach to the field of cardiology. Dr. Braunwald also curates the extensive, bimonthly online updates that include "Hot Off the Press" (with links to Practice Update) and "Late-Breaking Clinical Trials". Provides cutting-edge coverage of key topics such as proteomics and metabolomics, TAVR, diabetocardiology, and cardio-oncology. Contains 1,850 high-quality illustrations, radiographic images, algorithms, and charts, and provides access to 215 videos called out with icons in the print version. Highlights the latest AHA, ACC, and ESC guidelines to clearly summarize diagnostic criteria and clinical implications. Provides tightly edited, focused content for quick, dependable reference. Flexible format options include either one or two volumes in print, as well as a searchable eBook with ongoing updates.
Author : Annamalai Suresh,R. Udendran,S. Vimal
Publisher : Medical Information Science Reference
Page : 294 pages
File Size : 54,6 Mb
Release : 2020
Category : Computers
ISBN : 1799835936
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Author : Yan Tong,Zhi Wen,Xin Huang
Publisher : Frontiers Media SA
Page : 153 pages
File Size : 48,9 Mb
Release : 2023-03-09
Category : Science
ISBN : 9782832516041
Author : Xinyuan Zhang,Daniel Ting,Sobha Sivaprasad
Publisher : Frontiers Media SA
Page : 255 pages
File Size : 51,8 Mb
Release : 2023-04-27
Category : Medical
ISBN : 9782832521977