Artificial Intelligence in Ophthalmology

Artificial Intelligence in Ophthalmology
Author: Andrzej Grzybowski
Publisher: Springer Nature
Total Pages: 280
Release: 2021-10-13
Genre: Medical
ISBN: 3030786013

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

Artificial Intelligence in Ophthalmology
Author: Andrzej Grzybowski
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9783030786021

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

Artificial Intelligence and Ophthalmology
Author: Parul Ichhpujani
Publisher: Springer Nature
Total Pages: 149
Release: 2021-04-22
Genre: Medical
ISBN: 981160634X

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.

Ophthalmology: Breakthroughs in Research and Practice

Ophthalmology: Breakthroughs in Research and Practice
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 348
Release: 2018-01-05
Genre: Medical
ISBN: 1522551964

Advanced techniques in eye care has significantly influenced how diseases and conditions are treated and diagnosed. While many strides have been made, there is still continuous research in the ophthalmology field. Ophthalmology: Breakthroughs in Research and Practice is an innovative reference source for the latest academic material on the identification, treatment, and management methodologies of eye diseases and disorders. Highlighting a range of topics, such as retinal prosthesis, ocular diseases, and ophthalmoscopy, this publication is ideally designed for researchers, graduate-level students, and professionals in the medical field.

Industry Competitiveness: Digitalization, Management, and Integration

Industry Competitiveness: Digitalization, Management, and Integration
Author: Aleksei V. Bogoviz
Publisher: Springer Nature
Total Pages: 795
Release: 2020-02-24
Genre: Technology & Engineering
ISBN: 3030407497

This book, with contributions by both leading scholars and industry experts, provides a coherent framework for understanding complex determinants and patterns of industry competitiveness. Divided into eight parts, it covers both quantitative and qualitative research on the following topics: technologies, economic development, and human resources in Industry 4.0; management in the digital economy; artificial intelligence and knowledge management approaches; drivers of sustainable and innovative development in corporations; resilient and competitive systems in the energy sector; compliance and anti-corruption mechanisms; and competence networks and technological integration. Thanks to its highly stimulating discussions on the determinants and patterns of industry competitiveness, this book appeals to a wide readership.

Image Analysis and Modeling in Ophthalmology

Image Analysis and Modeling in Ophthalmology
Author: Eddie Y. K. Ng
Publisher: CRC Press
Total Pages: 402
Release: 2014-02-11
Genre: Medical
ISBN: 1466559381

Successful thermal modeling of the human eye helps in the early diagnosis of eye abnormalities such as inflammation, cataracts, diabetic retinopathy, and glaucoma-all leading causes of blindness. This book presents a unified work of eye imaging and modeling techniques that have been proposed and applied to ophthalmologic problems. It delves into various morphological, texture, higher order spectra, and wavelet transformation techniques used to extract important diagnostic features from images, which can then be analyzed by a data scientist for automated diagnosis.

High Resolution Imaging in Microscopy and Ophthalmology

High Resolution Imaging in Microscopy and Ophthalmology
Author: Josef F. Bille
Publisher: Springer
Total Pages: 411
Release: 2019-08-13
Genre: Medical
ISBN: 3030166384

This open access book provides a comprehensive overview of the application of the newest laser and microscope/ophthalmoscope technology in the field of high resolution imaging in microscopy and ophthalmology. Starting by describing High-Resolution 3D Light Microscopy with STED and RESOLFT, the book goes on to cover retinal and anterior segment imaging and image-guided treatment and also discusses the development of adaptive optics in vision science and ophthalmology. Using an interdisciplinary approach, the reader will learn about the latest developments and most up to date technology in the field and how these translate to a medical setting. High Resolution Imaging in Microscopy and Ophthalmology – New Frontiers in Biomedical Optics has been written by leading experts in the field and offers insights on engineering, biology, and medicine, thus being a valuable addition for scientists, engineers, and clinicians with technical and medical interest who would like to understand the equipment, the applications and the medical/biological background. Lastly, this book is dedicated to the memory of Dr. Gerhard Zinser, co-founder of Heidelberg Engineering GmbH, a scientist, a husband, a brother, a colleague, and a friend.

Computational Retinal Image Analysis

Computational Retinal Image Analysis
Author: Emanuele Trucco
Publisher: Academic Press
Total Pages: 504
Release: 2019-11-20
Genre: Computers
ISBN: 0081028164

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

Smart Systems for Industrial Applications

Smart Systems for Industrial Applications
Author: C. Venkatesh
Publisher: John Wiley & Sons
Total Pages: 311
Release: 2022-01-07
Genre: Computers
ISBN: 1119762049

SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.

Deep Medicine

Deep Medicine
Author: Eric Topol
Publisher: Basic Books
Total Pages: 388
Release: 2019-03-12
Genre: Health & Fitness
ISBN: 1541644646

A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.