Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
Author: Debmalya Barh
Publsiher: Academic Press
Total Pages: 544
Release: 2020-03-04
ISBN: 0128173386
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Precision Health Book Excerpt:

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Discovering Precision Health

Discovering Precision Health
Author: Lloyd Minor
Publsiher: John Wiley & Sons
Total Pages: 288
Release: 2020-01-23
ISBN: 1119672686
Category: Medical
Language: EN, FR, DE, ES & NL

Discovering Precision Health Book Excerpt:

Today we are on the brink of a much-needed transformative moment for health care. The U.S. health care system is designed to be reactive instead of preventive. The result is diagnoses that are too late and outcomes that are far worse than our level of spending should deliver. In recent years, U.S. life expectancy has been declining. Fundamental to realizing better health, and a more effective health care system, is advancing the disruptive thinking that has spawned innovation in Silicon Valley and throughout the world. That's exactly what Stanford Medicine has done by proposing a new vision for health and health care. In Discovering Precision Health, Lloyd Minor and Matthew Rees describe a holistic approach that will set health care on the right track: keep people healthy by preventing disease before it starts and personalize the treatment of individuals precisely, based on their specific profile. With descriptions of the pioneering work undertaken at Stanford Medicine, complemented by fascinating case studies of innovations from entities including the Chan Zuckerberg Biohub, GRAIL, and Impossible Foods, Minor and Rees present a dynamic vision for the future of individual health and health care. You'll see how tools from smartphone technology to genome sequencing to routine blood tests are helping avert illness and promote health. And you'll learn about the promising progress already underway in bringing greater precision to the process of predicting, preventing, and treating a range of conditions, including allergies, mental illness, preterm birth, cancer, stroke, and autism. The book highlights how biomedical advances are dramatically improving our ability to treat and cure complex diseases, while emphasizing the need to devote more attention to social, behavioral, and environmental factors that are often the primary determinants of health. The authors explore thought-provoking topics including: The unlikely role of Google Glass in treating autism How gene editing can advance precision in treating disease What medicine can learn from aviation liHow digital tools can contribute to health and innovation Discovering Precision Health showcases entirely new ways of thinking about health and health care and can help empower us to lead healthier lives.

Precision Health and Medicine

Precision Health and Medicine
Author: Arash Shaban-Nejad,Martin Michalowski
Publsiher: Springer
Total Pages: 197
Release: 2019-08-01
ISBN: 3030244091
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Precision Health and Medicine Book Excerpt:

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book

Artificial Intelligence and Machine Learning   An Issue of Neuroimaging Clinics of North America  E Book
Author: Reza Forghani
Publsiher: Elsevier Health Sciences
Total Pages: 240
Release: 2020-10-23
ISBN: 0323712452
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book Book Excerpt:

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!

Artificial Intelligence and Machine Learning in Public Healthcare

Artificial Intelligence and Machine Learning in Public Healthcare
Author: KC Santosh,Loveleen Gaur
Publsiher: Springer Nature
Total Pages: 74
Release: 2022-01-01
ISBN: 9811667683
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Machine Learning in Public Healthcare Book Excerpt:

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine
Author: Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
Publsiher: CRC Press
Total Pages: 300
Release: 2022-04-06
ISBN: 1000565815
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare and Medicine Book Excerpt:

This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Machine Learning in Biological Sciences

Machine Learning in Biological Sciences
Author: Shyamasree Ghosh
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 9811688818
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Machine Learning in Biological Sciences Book Excerpt:

MEDINFO 2017 Precision Healthcare Through Informatics

MEDINFO 2017  Precision Healthcare Through Informatics
Author: A.V. Gundlapalli,M.-C. Jaulent,D. Zhao
Publsiher: IOS Press
Total Pages: 1476
Release: 2018-01-31
ISBN: 1614998302
Category: HEALTH & FITNESS
Language: EN, FR, DE, ES & NL

MEDINFO 2017 Precision Healthcare Through Informatics Book Excerpt:

Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was "Precision Healthcare through Informatics", and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide.

Precision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence
Author: Michael Mahler
Publsiher: Academic Press
Total Pages: 300
Release: 2021-03-12
ISBN: 032385432X
Category: Science
Language: EN, FR, DE, ES & NL

Precision Medicine and Artificial Intelligence Book Excerpt:

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

Sex and Gender Bias in Technology and Artificial Intelligence

Sex and Gender Bias in Technology and Artificial Intelligence
Author: Davide Cirillo,Silvina Catuara Solarz,Emre Guney
Publsiher: Academic Press
Total Pages: 278
Release: 2022-05-21
ISBN: 0128213930
Category: Medical
Language: EN, FR, DE, ES & NL

Sex and Gender Bias in Technology and Artificial Intelligence Book Excerpt:

Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches. First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare Co-published by the Women’s Brain Project, a leading non-profit organization in this area Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing

Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
Author: Louis J. Catania
Publsiher: Academic Press
Total Pages: 558
Release: 2020-11-25
ISBN: 0323860052
Category: Science
Language: EN, FR, DE, ES & NL

Foundations of Artificial Intelligence in Healthcare and Bioscience Book Excerpt:

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

The Evolution of Radionanotargeting towards Clinical Precision Oncology A Festschrift in Honor of Kalevi Kairemo

The Evolution of Radionanotargeting towards Clinical Precision Oncology  A Festschrift in Honor of Kalevi Kairemo
Author: Antti Jekunen
Publsiher: Bentham Science Publishers
Total Pages: 300
Release: 2022-03-10
ISBN: 1681088665
Category: Medical
Language: EN, FR, DE, ES & NL

The Evolution of Radionanotargeting towards Clinical Precision Oncology A Festschrift in Honor of Kalevi Kairemo Book Excerpt:

The Evolution of Radionanotargeting towards Clinical Precision Oncology is a remarkable book honoring Professor Kalevi Kairemo, who is known among academic and medical circles as a pioneer in novel radiolabeled therapeutics. This festschrift provides an overview of key advances in the field of radionanotargeting, and the directions for future development in patient care. Prof Kairemo’s research is based on multiomics, which involves multiple elements: genomics, transcriptomics, proteomics, metabolomics, microbiomics, epigenomics, exposome, imaging, and precision medicine, which is reflected by the unique collection of articles presented. The articles start from the angle of radionanotargeting and theragnostics leading to imaging and therapy, which includes sections for thyroid cancer, head and neck cancer, genitourinary cancers and neuroendocrine neoplasms. Theragnostics, nanoparticles and precision oncology have also been covered in their own segments, while also giving a glimpse of research in metabolic imaging, cardiovascular radionuclide imaging, and bone therapies. The sequence of chapters demonstrates how, through Professor Kairemo’s efforts, radionanotargeting has evolved to a practice changing therapeutic approach in the clinic, particularly in oncology. Finally, Professor Kairemo’s own memoir, “Seven decades in health care” and memoirs from colleagues including a personal introduction to him with a photographic cavalcade reveals the world of a multitasking person with a multidisciplinary approach to science, that ushered his development of significant expertise across the fields of chemistry, biology, engineering, physics and clinical medicine. This book is excellent for medical historians, trainees and specialists in clinical and radiological oncology in expanding their understanding of the role of radionuclide imaging over the years, making it an ideal tribute that belongs in the library of anyone involved in the field.

Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine
Author: Kayvan Najarian,Delaram Kahrobaei,Enrique Domínguez,Reza Soroushmehr
Publsiher: CRC Press
Total Pages: 286
Release: 2022
ISBN: 9780367619176
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare and Medicine Book Excerpt:

It is widely believed that Artificial Intelligence (AI) and its applications will revolutionize healthcare and medicine. This book provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and data science in medicine.

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
Author: Anitha S. Pillai,Bindu Menon
Publsiher: Academic Press
Total Pages: 362
Release: 2022-02-25
ISBN: 0323886264
Category: Science
Language: EN, FR, DE, ES & NL

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence Book Excerpt:

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders

Artificial Intelligence in the Genetic Diagnosis of Rare Disease

Artificial Intelligence in the Genetic Diagnosis of Rare Disease
Author: David Gerald
Publsiher: Unknown
Total Pages: 204
Release: 2021-06-17
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence in the Genetic Diagnosis of Rare Disease Book Excerpt:

Contents Artificial Intelligence in Pharmacovigilance: Scoping Points to Consider Artificial Intelligence in the Genetic Diagnosis of Rare Disease Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation Keywords Artificial Intelligence In Healthcare Artificial Intelligence in Medicine the Health IT artificial intelligence in precision health Healthcare applications Biomedical research Epileptic seizure Artificial intelligence Deep Learning Multi-source time-series Healthcare Emergency Medicine Celiac disease image analysis Nanotechnology Artificial intelligence Dentistry Fuzzy logic Artificial neural network Genetic algorithms Augmented and virtual reality the nuclear medicine field nuclear medicine AI in oncology indi- vidualized medicine assaying patients' genetic makeup (genome), Genomics genomics and personalized medicine what everyone needs to know maceutical clinical research and healthcare

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
Author: Arjun Panesar
Publsiher: Apress
Total Pages: 368
Release: 2019-02-04
ISBN: 1484237994
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and AI for Healthcare Book Excerpt:

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: David Gerald
Publsiher: Unknown
Total Pages: 188
Release: 2021-06-10
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medical Imaging Book Excerpt:

Contents COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification Triboelectric nanogenerator based self-powered sensor for artificial intelligence Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device Variants of Artificial Bee Colony algorithm and its applications in medical image processing Keyword artificial intelligence in medical imaging Artificial Intelligence In Healthcare Artificial Intelligence in Medicine the Health IT artificial intelligence in precision health Healthcare applications Biomedical research Epileptic seizure Artificial intelligence Deep Learning Multi-source time-series Healthcare Emergency Medicine Celiac disease image analysis Nanotechnology Artificial intelligence Dentistry Fuzzy logic Artificial neural network Genetic algorithms Augmented and virtual reality the nuclear medicine field nuclear medicine AI in oncology indi- vidualized medicine assaying patients' genetic makeup (genome), Genomics genomics and personalized medicine what everyone needs to know maceutical clinical research and healthcare

Cyber Defence in the Age of AI Smart Societies and Augmented Humanity

Cyber Defence in the Age of AI  Smart Societies and Augmented Humanity
Author: Hamid Jahankhani,Stefan Kendzierskyj,Nishan Chelvachandran,Jaime Ibarra
Publsiher: Springer Nature
Total Pages: 450
Release: 2020-04-06
ISBN: 3030357465
Category: Computers
Language: EN, FR, DE, ES & NL

Cyber Defence in the Age of AI Smart Societies and Augmented Humanity Book Excerpt:

This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on the tactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Lei Xing,Maryellen L. Giger,James K. Min
Publsiher: Academic Press
Total Pages: 568
Release: 2020-09-03
ISBN: 0128212586
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Artificial Intelligence in Geriatric Mental Health Research and Clinical Care

Artificial Intelligence in Geriatric Mental Health Research and Clinical Care
Author: Ellen E. Lee,Andrea Iaboni,Helmet Karim,Ipsit Vahia
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-18
ISBN: 2889747379
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Geriatric Mental Health Research and Clinical Care Book Excerpt: