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Artificial intelligence of health-enabled spaces
\"Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable model are also being presented in this book. Some of the fields considered in this smart health-oriented book includes AI applications in Electrical Engineering, Biomedical Engineering, Environmental Engineering, Computer Engineering, Education, Cyber Security, Chemistry, Pharmacy, Molecular Biology, and Tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies\"-- Provided by publisher.
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Artificial Intelligence, Blockchain and IoT for Smart Healthcare
The concepts of telemedicine and e-healthcare have eased as well as improved the reachability of experienced doctors and medical staff to remote patients. A patient who is living in a remote village area can directly connect to specialist doctors across the globe though his/her mobile phone using telemedicine systems and e-healthcare services. In pandemic situations like COVID-19, these online platforms helped society to get medical treatment from their residence without any physical movement. Technology is transforming human lives by playing an important role in the planning, designing, and development of intelligent systems for better service. This book presents a cross-disciplinary perspective on the concept of machine learning, blockchain and IoT by congregating cutting-edge research and insights. It also identifies and discusses various advanced technologies such as internet of things (IoT), big data analytics, machine learning, artificial intelligence, cyber security, cloud computing, sensors and so on that are vital to foster the development of smart healthcare and telemedicine systems by providing effective solutions to the medical challenges faced by humankind.
eBook
Use of AI, Robotics and Modelling tools to fight Covid-19
The COVID-19 pandemic has hit the global at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defence mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic.
AI technology is useful for fast drug development and treatment. In the starting phase of COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network model have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.
Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 is aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.
Preface Acknowledgement List of Contributors List of Figures List of Tables List of Notations and Abbreviations 1 The History of Pandemics and Evolution So Far 2 Tracing the Origins of COVID-19 3 AI for COVID-19: The Journey So Far 4 Technological Opportunities to Fight COVID-19 for 5 Mobile Robots in COVID-19 6 Predictor System for Tracing COVID-19 Spread 7 Discovery of Robust Distributions of COVID-19 Spread 8 Toward Smart Hospital: An Intelligent Personnel Scheduling Using Evolutionary Algorithms 9 Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case 10 Peculiarities of Technical Measures During the COVID-19 Pandemic 11 Climate Change and COVID-19: An Interplay 12 COVID-19 Pandemic: A New Era in Higher Education 13 Virtual Reality: Solution to Reduce the Impact of COVID-19 on Global Economy References Index About the Editors
Arpit Jain, Abhinav Sharma, Jianwu Wang, Mangey Ram
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Computational intelligence aided systems for healthcare domain
\"The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical\"-- Provided by publisher.
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Current and Future Application of Artificial Intelligence in Clinical Medicine
Current and Future Application of Artificial Intelligence in ClinicalMedicine presents updateson the application of machine learning and deep learning techniques in medicalprocedures.. Chapters in the volume have been written by outstandingcontributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the bookinclude 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 studyingthe COVID-19 pandemic in China, 4) AI applications in clinical oncology(including AI-based mining for pulmonary nodules and the use of AI inunderstanding specific carcinomas), 5) AI inmedical imaging. Each chapter presents information on related sub topics in areader friendly format. The combination of expert knowledge and multidisciplinary approaches highlightedin the book make it a valuable source of information for physicians andclinical researchers active in the field of cancer diagnosis and treatment(oncologists, oncologic surgeons, radiation oncologists, nuclear medicinephysicians, and radiologists) and computer science scholars seeking tounderstand medical applications of artificial intelligence.
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What AI can do
\"The book seeks to contribute to the social and cultural comprehension of AI, and how it is being assimilated by different disciplines, as well as some of its ethical controversies. The first section will analyse the philosophical and anthropological dimensions of AI, including the foundations of algorithms, social and cultural implications of algorithmic implementations, different social and cultural assumptions of algorithms and AI, AI from an anthropological point of view, and general and philosophical frameworks for AI ethics. The second section considers the point of view of disciplines such as education, medicine, business, and art. It discusses AI as an element of disruption and innovation in particular disciplines. Section three will analyze possible future scenarios for the application of AI, such as Singularity, Industry 4.0 and labor challenges, AI changing lifestyle and wellness, biometrics and Sentiment analysis on AI, psychological implications of AI and robotics, cybersecurity, and AI political threats.\"-- Provided by publisher.
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In Silico Dreams
Learn how AI and data science are upending the worlds of biology and medicine
In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic discovery and toward engineered medicines and curative therapies.
In this fascinating book, you'll discover:
* An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution
* An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine
* A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics
* A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development
* A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry
Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.
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Designing intelligent healthcare systems, products, and services using disruptive technologies and health informatics
\"This book offers both theoretical and practical application-based chapters on Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics and presents novel technical studies on designing intelligent healthcare systems, product, and services. It offers conceptual and visionary works comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and monitoring of physiological data. The book will also provide metaheuristic computational intelligent based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies\"-- Provided by publisher.
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AI in healthcare
The best source for cutting-edge insights into AI in healthcare operations
AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations.
Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions.
This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including:
* Healthcare IT
* AI Clinical Operations
* AI Operational Infrastructure
* Project Planning
* Metrics, Reporting, and Service Performance
* AIOps in Automation
* AIOps Cloud Operations
* Future of AI
Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.
eBook