Download or read book Artificial Intelligence Applications in Chronic Ocular Diseases written by Wei Chi and published by Frontiers Media SA. This book was released on 2024-04-23 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence in Ophthalmology written by Andrzej Grzybowski and published by Springer Nature. This book was released on 2021-10-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Artificial Intelligence and Ophthalmology written by Parul Ichhpujani and published by Springer Nature. This book was released on 2021-04-22 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computer Vision in Medical Imaging written by C H Chen and published by World Scientific. This book was released on 2013-11-18 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. Contents:An Introduction to Computer Vision in Medical Imaging (Chi Hau Chen)Theory and Methodologies:Distribution Matching Approaches to Medical Image Segmentation (Ismail Ben Ayed)Digital Pathology in Medical Imaging (Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez)Adaptive Shape Prior Modeling via Online Dictionary Learning (Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas)Feature-Centric Lesion Detection and Retrieval in Thoracic Images (Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng)A Novel Paradigm for Quantitation from MR Phase (Joseph Dagher)A Multi-Resolution Active Contour Framework for Ultrasound Image Segmentation (Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li)2D, 3D Reconstructions/Imaging Algorithms, Systems & Sensor Fusion:Model-Based Image Reconstruction in Optoacoustic Tomography (Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos)The Fusion of Three-Dimensional Quantitative Coronary Angiography and Intracoronary Imaging for Coronary Interventions (Shengxian Tu, Niels R Holm, Johannes P Janssen and Johan H C Reiber)Three-Dimensional Reconstruction Methods in Near-Field Coded Aperture for SPECT Imaging System (Stephen Baoming Hong)Ultrasound Volume Reconstruction based on Direct Frame Interpolation (Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers)Deconvolution Technique for Enhancing and Classifying the Retinal Images (Uvais A Qidwai and Umair A Qidwai)Medical Ultrasound Digital Signal Processing in the GPU Computing Era (Marcin Lewandowski)Developing Medical Image Processing Algorithms for GPU Assisted Parallel Computation (Mathias Broxvall and Marios Daotis)Specific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc.:Computer Vision in Interventional Cardiology (Kendall R Waters)Pattern Classification of Brain Diffusion MRI: Application to Schizophrenia Diagnosis (Ali Tabesh, Matthew J Hoptman, Debra D'Angelo and Babak A Ardekani)On Compressed Sensing Reconstruction for Magnetic Resonance Imaging (Benjamin Paul Berman, Sagar Mandava and Ali Bilgin)On Hierarchical Statistical Shape Models with Application to Brain MRI (Juan J Cerrolaza, Arantxa Villanueva and Rafael Cabeza)Advanced PDE-based Methods for Automatic Quantification of Cardiac Function and Scar from Magnetic Resonance Imaging (Durco Turco and Cristiana Corsi)Automated IVUS Segmentation Using Deformable Template Model with Feature Tracking (Prakash Manandhar and Chi Hau Chen) Readership: Researchers, professionals and academics in machine perception/computer vision, pattern recognition/image analysis, nuclear medicine, bioengineering & cardiology. Keywords:Medical Imaging;Computer Vision;Image Segmentation;Machine Learning;3D InformationKey Features:Uses computer vision techniques for medical imaging dataCovers image processing and segmentation algorithms in intravascular ultrasound, PETscan data, MRI dataEmphaisises 3D information extraction from medical imaging data

Download or read book Pediatric Retinal Diseases written by R. V. Paul Chan and published by Springer Nature. This book was released on 2022-10-07 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume on pediatric retina covers all aspects of pediatric retinal diseases as their understanding, diagnosis and management is still under evolution and a challenging task. Newer diagnostic and surgical techniques are being developed and are being adapted for better visual outcome in pediatric cases. It comprises of 10 chapters describing the medical and surgical aspects. The text and figures have been provided in a lucid manner to enhance the understanding of the reader. This volume covers OCT angiography for pediatric retinal disease, clinical spectrum of retinopathy of prematurity, which has become an ever increasing burden of disease for the society and needs special attention, anti-VEGF for retinopathy of prematurity, surgical management of retinopathy of prematurity, retinopathy of prematurity: atypical aspects, Coats’ disease, pediatric retinal inflammatory disorders, congenital X-linked retinoschisis, familial exudative vitreoretinopathy, hematologic disorders: leukemia, hyperviscosity, anemia. It provides descriptions of these disease accompanied by numerous helpful images to highlight these conditions. This atlas will assist the vitreoretinal specialists, general ophthalmologists, retina fellows and post graduate students in successfully identifying the key features of these challenging pediatric vitreoretinopathies. Pediatric Retinal Diseases is one of the nine volumes of the series Retina Atlas. This series provides global perspective on vitreoretinal diseases, covering imaging basics, retinal vascular disease, ocular inflammatory disease, retinal degeneration, surgical retina, ocular oncology, pediatric retina and trauma. Retina Atlas is spread over 9 volumes and about 100 chapters, covering validated and comprehensive information on retinal disorders.

Download or read book Diagnosis and Management of Glaucoma written by R Ramakrishan and published by JP Medical Ltd. This book was released on 2013-01-30 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glaucoma is an eye disease in which the optic nerve is damaged and can permanently damage vision and lead to blindness if left untreated. This book is a complete guide to the diagnosis and management of glaucoma. Divided into five sections, it begins with an introduction to the disease, continuing step by step through its diagnosis, the different types of glaucoma and treatment options. Authored by specialists renowned in their field based in India and the USA, this manual contains 840 images and illustrations.

Download or read book Big data and artificial intelligence in ophthalmology clinical application and future exploration written by Tae-im Kim and published by Frontiers Media SA. This book was released on 2023-12-27 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Cost Effectiveness in Health and Medicine written by Marthe R. Gold and published by Oxford University Press. This book was released on 1996-07-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique, in-depth discussion of the uses and conduct of cost-effectiveness analyses (CEAs) as decision-making aids in the health and medical fields, this volume is the product of over two years of comprehensive research and deliberation by a multi-disciplinary panel of economists, ethicists, psychometricians, and clinicians. Exploring cost-effectiveness in the context of societal decision-making for resource allocation purposes, this volume proposes that analysts include a "reference-case" analysis in all CEAs designed to inform resource allocation and puts forth the most explicit set of guidelines (together with their rationale) ever defined on the conduct of CEAs. Important theoretical and practical issues encountered in measuring costs and effectiveness, evaluating outcomes, discounting, and dealing with uncertainty are examined in separate chapters. Additional chapters on framing and reporting of CEAs elucidate the purpose of the analysis and the effective communication of its findings. Cost-Effectiveness in Health and Medicine differs from the available literature in several key aspects. Most importantly, it represents a consensus on standard methods--a feature integral to a CEA, whose principal goal is to permit comparisons of the costs and health outcomes of alternative ways of improving health. The detailed level at which the discussion is offered is another major distinction of this book, since guidelines in journal literature and in CEA-related books tend to be rather general--to the extent that the analyst is left with little guidance on specific matters. The focused overview of the theoretical background underlying areas of controversy and of methodological alternatives, and, finally, the accessible writing style make this volume a top choice on the reading lists of analysts in medicine and public health who wish to improve practice and comparability of CEAs. The book will also appeal to decision-makers in government, managed care, and industry who wish to consider the uses and limitations of CEAs.

Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Download or read book Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases written by Xin Huang and published by Frontiers Media SA. This book was released on 2023-10-18 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ancestral Dietary Strategy to Prevent and Treat Macular Degeneration written by Chris A Knobbe and published by . This book was released on 2019-09-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2016, ophthalmologist and Associate Clinical Professor Emeritus, Chris Knobbe, MD, proffered a revolutionary hypothesis for both the cause and the treatment of age-related macular degeneration; since then, his supportive research, writings, and presentations have received tremendous accolades from colleagues and fellow nutrition researchers, alike. Knobbe has presented his hypothesis and supportive research on numerous stages all across the United States and for a number of organizations, including the Christian Ophthalmology Society, the Ancestral Health Symposium, the Weston A. Price Foundation, and the Macular Degeneration Association. Knobbe is the world's only ophthalmologist to have proffered such a hypothesis, but which has also been buttressed by supprttive research, published in the highly esteemed journal, Medical Hypotheses, in November, 2017. Ophthalmologist and retina specialist of the United Kingdom, Andrew J. Luff, MA, FRCS, FRCS(Ophtha), FRCOphth, writes, "As the prevalence of AMD escalates, the devastating consequences of visual loss take their relentless toll on individuals, families, and health economies. This epidemic continues to grow, oblivious to a plethora of research. A massive financial investment (both University-based and pharmaceutical) has made no impact on the incidence of a disease that has resisted minor nutritional tinkering and seen no significant gain from our exponentially increased knowledge of genetics. In researching our frustrating lack of success in the quest for a unifying cause of AMD, Dr. Knobbe concludes that we have been looking in the wrong place. "From a meticulous examination of ophthalmic history, comparative epidemiology and dietary change across the globe, he constructs a cogent and compelling argument for defects in basic nutrition as the fundamental driver of AMD. The data are stark and the potential consequences of dietary deficiency sobering. Dr. Knobbe's rational conclusion that a shift from traditional foods can wreak havoc on macular function will come as no surprise to those who have postulated similar cause for the multitude of chronic diseases now endemic in so-called developed nations. "His hypothesis is unlikely to be welcomed by those committed to pharmacological intervention. Furthermore, a radical change to the diet of billions will not happen quickly. However, for newly diagnosed patients seeking hope and clinicians struggling for an answer, Dr. Knobbe's remarkable book offers the first tangible lifeline. To impact on the visual health of a nation we need a paradigm shift in the attitude of government and a radical rethink of the artificially constructed boundaries between nutrition and medicine. The visual health of many millions of people worldwide over the coming decades may depend on whether Knobbe's message is heard by those with both the political power and the financial commitment to take action." Andrew J. Luff, MA, FRCS, FRCS(Ophtha, FRCOphth Vitreo-Retinal Surgeon, United Kingdom, Fellow of the Royal College of Ophthalmologists Dr. Knobbe's revolutionary hypothesis, extraordinary research, and scientific rigor, is second to none. After having read the book or seen Knobbe's presenations, many have remarked, "How can his conclusions be refuted?" Come see how and why you can save your vision, by following a delicious, healthy, satisfying diet, with virtually any food you desire, as long as it is made with "ancestral" ingredients. Shocking, but true!

Download or read book Chronic Liver Disease New Targets and New Mechanisms written by Jinhang Gao and published by Frontiers Media SA. This book was released on 2022-08-16 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Teleretinal Screening written by Kanagasingam Yogesan and published by Springer Science & Business Media. This book was released on 2012-03-28 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital retinal imaging performed by primary care providers and nurses, followed by remote image interpretation (teleretinal imaging), is rapidly acquiring a crucial role in many parts of the world as it permits the detection of major diseases, such as diabetic retinopathy and glaucoma, in patients who would otherwise be beyond the reach of a trained ophthalmologist. In this book, experts from around the world describe how digital teleretinal screening can be set up and optimally utilized. Technical issues are discussed, and the appropriate use of screening for different diseases and in different age groups is explained. The major part of the book draws upon the clinical experience of leading practitioners in a wide range of teleretinal applications. The result is a comprehensive source of high-quality information for clinicians and other health professionals who are involved in eye care delivery, so that they can assess how teleretinal screening might be applied to their working practice.

Download or read book Funding a Revolution written by National Research Council and published by National Academies Press. This book was released on 1999-02-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.