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Author : Tae-im Kim,Darren Shu Jeng Ting,Yi-Ting Hsieh,Tyler Hyungtaek Rim
Publisher : Frontiers Media SA
Page : 101 pages
File Size : 48,7 Mb
Release : 2023-12-27
Category : Medical
ISBN : 9782832541715
Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 48,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394
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
Author : Tae-im Kim,Darren Shu Jeng Ting,Yi-Ting Hsieh,Tyler Hyungtaek Rim
Publisher : Frontiers Media SA
Page : 143 pages
File Size : 53,7 Mb
Release : 2023-03-17
Category : Medical
ISBN : 9782832517802
Author : Andrzej Grzybowski
Publisher : Springer Nature
Page : 280 pages
File Size : 41,8 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 : Parul Ichhpujani,Sahil Thakur
Publisher : Springer Nature
Page : 149 pages
File Size : 49,8 Mb
Release : 2021-04-22
Category : Medical
ISBN : 9789811606342
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.
Author : Jie Yang,Shigao Huang
Publisher : Bentham Science Publishers
Page : 154 pages
File Size : 55,9 Mb
Release : 2021-06-01
Category : Medical
ISBN : 9781681088426
Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.
Author : Aziza Chakir
Publisher : Springer Nature
Page : 443 pages
File Size : 52,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9783031503009
Author : Raj Bawa
Publisher : CRC Press
Page : 930 pages
File Size : 45,7 Mb
Release : 2021-12-23
Category : Science
ISBN : 9781000400816
The pace and sophistication of advances in medicine in the past two decades have necessitated a growing need for a comprehensive reference that highlights current issues in medicine. Each volume in the Current Issues in Medicine series is a stand‐alone text that provides a broad survey of various critical topics—all accomplished in a user-friendly yet interconnected format. The series not only highlights current advances but also explores related topics such as translational medicine, regulatory science, neglected diseases, global pandemics, patent law, immunotoxicology, theranostics, big data, artificial intelligence, novel imaging tools, combination drug products, and novel therapies. While bridging the gap between basic research and clinical medicine, this series provides a thorough understanding of medicine’s potential to address health problems from both the patient’s and the provider’s perspectives in a healthcare setting. The range of topics covered and the expertise of the contributing authors accurately reflect the rapidly evolving areas within medicine—from basic medical sciences to clinical specialties. Each volume is essential reading for physicians, medical students, nurses, fellows, residents, undergraduate and graduate students, educators, policymakers, and biomedical researchers. The multidisciplinary approach of the series makes it a valuable reference resource for the pharmaceutical industry, academia, and governments. However, unlike other series on medicine or medical textbooks, this series focuses on current trends, perspectives, and issues in medicine that are central to healthcare delivery in the 21st century. Volume 2 focuses on the current issues in basic medical sciences, subjects that are fundamental to the practice of medicine. Specifically, it discusses clinical immunology, medical microbiology, COVID-19, and big data. These subjects, traditionally taught in the first two years of medical school that precede clinical instruction, provide a core of basic knowledge critical to the success in clinical medicine during rotations, training, and medical practice.
Author : Dr. Hakim .K.Saboowala.
Publisher : Dr.Hakim Saboowala
Page : 79 pages
File Size : 54,9 Mb
Release : 2023-10-25
Category : Medical
ISBN : 8210379456XXX
Exploring “The Current Applications, Advantages & Disadvantages, Ethical Concerns & The Future Hold Of AI in Healthcare.” The healthcare industry is advancing ahead swiftly. For many healthcare organizations, being able to forecast which treatment techniques are likely to be successful with patients based on their makeup and treatment framework is a big step forward. Artificial intelligence has the potential to help healthcare providers in a variety of ways, including patient care and administrative tasks. The technology aims to mimic human cognitive functions, as it offers numerous advantages over traditional analytics and other clinical decision-making tools. Data becomes more precise and accurate, allowing the healthcare industry to have more insights into the processes and patient outcomes. Tus, an effort has been made in this E-Booklet to compile an overview of the use of artificial intelligence in radiology, cardiology, ophthalmology, and drug discovery process along with several relevant Illustrations for better understanding. …Dr. H. K. Saboowala. M.B.(Bom) .M.R.S.H.(London)
Author : Siva Teja Kakileti,Geetha Manjunath,Robert G. Schwartz,Alejandro F. Frangi
Publisher : Springer Nature
Page : 154 pages
File Size : 40,6 Mb
Release : 2023-09-28
Category : Computers
ISBN : 9783031445118
This book constitutes the refereed proceedings of the Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023. The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarily to the first, aimes to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community.
Author : Musiolik, Thomas Heinrich,Cheok, Adrian David
Publisher : IGI Global
Page : 335 pages
File Size : 47,9 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781799835011
The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.
Author : David Riaño,Szymon Wilk,Annette ten Teije
Publisher : Springer
Page : 431 pages
File Size : 44,5 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030216429
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Author : Giorgio Treglia,Salvatore Annunziata
Publisher : Frontiers Media SA
Page : 133 pages
File Size : 42,7 Mb
Release : 2023-06-14
Category : Medical
ISBN : 9782832526347
Author : Pantea Keikhosrokiani
Publisher : Academic Press
Page : 356 pages
File Size : 51,5 Mb
Release : 2022-05-19
Category : Medical
ISBN : 9780323985161
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems
Author : Luca Giovanella
Publisher : Springer Nature
Page : 174 pages
File Size : 53,9 Mb
Release : 2023-09-04
Category : Medical
ISBN : 9783031352133
This open access book provides basic concepts on Integrated Diagnostics and Theranostics with special emphasis on different human thyroid diseases. Thyroid diseases are increasingly detected (incidentally in many cases) but are clinically negligible in a significant proportion of patients. Accordingly, it is urgent to move from the simple disease detection to a reliable disease characterization in order to concentrate efforts on patients in need of tailored disease management. The current scenario of in vitro and in vivo diagnostics, is fastly moving toward the Integrated Diagnostics (i.e. convergence of imaging, pathology and laboratory tests with advanced information technology). Furthermore, the integration of different information will aid clinicians to properly select treatments and stratify patients’ prognosis over time. Theranostics is a perfect paradigm of such integrated approach and radioiodine, indicated for benign and malignant thyroid disease management, was the first and is still the mostly used theranostic agent in medicine. Featuring basics concepts and clinical cases discussions the Atlas will be an invaluable tool for clinicians, laboratory specialists, imaging physicians and biomedical technologists involved in diagnosis and therapy of thyroid diseases.
