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Book Application of Artificial Intelligence to Advance Individualized Diagnosis and Treatment in Emergency and Critical Care Medicine

Download or read book Application of Artificial Intelligence to Advance Individualized Diagnosis and Treatment in Emergency and Critical Care Medicine written by Zhongheng Zhang and published by . This book was released on 2024-04-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Critical illness refers to severe diseases or conditions where health status changes rapidly and may pose an immediate threat to life within a short period of time. The key to successful treatment of critically ill patients involves various aspects of diagnosis, including early prediction of adverse events, accurate identification of pathogens, and differential diagnosis of symptoms. Critically ill patients typically generate vast amounts of data from medical equipment such as bedside monitors, ventilators, and renal replacement therapy devices. Handling such large volumes of data is challenging for human intuition alone. Artificial intelligence can learn complex data structures to acquire knowledge and insights, thereby profoundly impacting the management of critically ill patients. In this context, we have organized this Special Issue to explore the application of artificial intelligence in the management of major diseases, aiming to significantly advance future healthcare. In this Special Issue, researchers from various countries and regions have explored the application of artificial intelligence in critical care, covering aspects such as diagnosis, management, and prognosis. Overall, these studies elucidate the transformative impact of artificial intelligence and machine learning on medical diagnosis and prognosis, heralding a new era of precision medicine that holds promise for improving patient outcomes and optimizing healthcare services.

Book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine  Volume IV

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume IV written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2024-01-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is the fourth volume of the series Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume I: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I Volume II:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II Volume III:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume III Analytics based on artificial intelligence has greatly advanced scientific research fields like natural language processing and imaging classification. Clinical research has also greatly benefited from artificial intelligence. Emergency and critical care physicians face patients with rapidly changing conditions, which require accurate risk stratification and initiation of rescue therapy. Furthermore, critically ill patients, such as those with sepsis, acute respiratory distress syndrome, and trauma, are comprised of heterogeneous population. The “one-size-fit-all” paradigm may not fit for the management of such heterogeneous patient population. Thus, artificial intelligence can be employed to identify novel subphenotypes of these patients. These sub classifications can provide not only prognostic value for risk stratification but also predictive value for individualized treatment. With the development of transcriptome providing a large amount of information for an individual, artificial intelligence can greatly help to identify useful information from high dimensional data. Altogether, it is of great importance to further utilize artificial intelligence in the management of critically ill patients.

Book Artificial Intelligence in Healthcare

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

Book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine  Volume I

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume I written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2022-02-03 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Clinical application of artificial intelligence in emergency and critical care medicine  Volume III

Download or read book Clinical application of artificial intelligence in emergency and critical care medicine Volume III written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2023-01-27 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine  Volume II

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume II written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2022-05-27 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Systems Biology and Data Driven Machine Learning Based Models in Personalized Cardiovascular Medicine

Download or read book Systems Biology and Data Driven Machine Learning Based Models in Personalized Cardiovascular Medicine written by Miguel Hueso and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Biomedical Research Developments for Improved Healthcare

Download or read book Biomedical Research Developments for Improved Healthcare written by Prabhakar, Pranav Kumar and published by IGI Global. This book was released on 2024-03-04 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: A chasm grows between the currently established knowledge and the rapidly evolving landscape of healthcare. As the field of biomedical research hurtles forward with groundbreaking discoveries and transformative technologies, academic scholars find themselves grappling with a significant dilemma. There exists a disconnect between traditional educational resources and the need to keep pace with the latest innovations that are reshaping medicine, diagnosis, and treatment. This widening gap inhibits scholars from adequately preparing their students and hampers their ability to engage in relevant, cutting-edge research, ultimately impeding the advancement of healthcare as a whole. Biomedical Research Developments for Improved Healthcare serves as the ultimate solution to this academic challenge. This book offers a compelling bridge between the realm of academic theory and the dynamic world of practical, real-world biomedical research. Its primary objective is to equip scholars with the knowledge, insights, and materials needed to inspire the next generation of healthcare professionals. By presenting a comprehensive overview of the most recent and groundbreaking advancements in biomedical research, the book enables scholars to transcend the limitations of traditional academia and empower their students with up-to-date, practical knowledge.

Book Emergency Medicine  Applications of Artificial Intelligence

Download or read book Emergency Medicine Applications of Artificial Intelligence written by Sonja Andersen and published by American Medical Publishers. This book was released on 2023-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancements in artificial intelligence technology have paved the way for the use of machine learning applications in health care. These applications address existing challenges in the emergency department such as triage and disposition, early detection of conditions and outcomes, emergency department operations, and therapeutic interventions. Artificial intelligence can be used in three ways in the context of emergency and critical care. The first one is to build risk stratification prediction models in critical care. The second use of AI involves utilizing unsupervised machine learning techniques to divide the varied population into homogeneous subgroups. The third use of AI is for reinforcement learning algorithms to prescribe treatment regimens in a sequential way. The dynamic treatment regime (DTR) model uses reinforcement learning to estimate a set of decision rules, one for each step of intervention. It specifies how to tailor treatments to patients considering their treatment and covariate histories. DTR lowers model complexity and is considered more appropriate for medical epidemiology. This book is a vital tool for all researching or studying the role of AI in emergency medicine. It aims to equip students and experts with the advanced topics and upcoming concepts in this subject.

Book A Practical Guide to Emergency Telehealth

Download or read book A Practical Guide to Emergency Telehealth written by Neal Sikka and published by Oxford University Press. This book was released on 2021 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Telemedicine Basics -- Telemedicine Technologies -- Telehealth Training and Education -- Telehealth Adoption and Patient Engagement -- Quality Assessment in Emergency Telehealth -- Legal, Regulatory and Reimbursement Considerations -- Telehealth Cybersecurity -- Telestroke and Teleneurology -- Emergency Telepsychiatry -- Role of Telemedicine for Guiding Rural Emergent Neurosurgical Care -- Emergency Ocular Telehealth Services -- Medical Subspecialty Telehealth Consults -- Telemedicine in the Surgical Disciplines -- Pediatric Emergency Telehealth -- Tele-Triage -- Telehealth for Medication for Addiction Treatment -- Supporting Advance Practice Providers in the ED using Telehealth -- Emergency Telehealth Services in the Correctional Setting -- Extending Care Team Access to Out of Hospital Settings via Telehealth -- Remote Physiologic Monitoring -- Direct to Consumer or On-Demand Telehealth -- Telehealth Facilitates Value Based Care in ED Settings -- Tele-ultrasound -- Emerging and Innovative Technologies.

Book Translational Bioinformatics Applications in Healthcare

Download or read book Translational Bioinformatics Applications in Healthcare written by Khalid Raza and published by CRC Press. This book was released on 2021-04-20 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Translational bioinformatics (TBI) involves development of storage, analytics, and advanced computational methods to harvest knowledge from voluminous biomedical and genomic data into 4P healthcare (proactive, predictive, preventive, and participatory). Translational Bioinformatics Applications in Healthcare offers a detailed overview on concepts of TBI, biological and clinical databases, clinical informatics, and pertinent real-case applications. It further illustrates recent advancements, tools, techniques, and applications of TBI in healthcare, including Internet of Things (IoT) potential, toxin databases, medical image analysis and telemedicine applications, analytics of COVID-19 CT images, viroinformatics and viral diseases, and COVID-19–related research. Covers recent technologies such as Blockchain, IoT, and Big data analytics in bioinformatics Presents the role of translational bioinformatic methods in the field of viroinformatics, as well as in drug development and repurposing Includes translational healthcare and NGS for clinical applications Illustrates translational medicine systems and their applications in better healthcare Explores medical image analysis with focus on CT images and novel coronavirus disease detection Aimed at researchers and graduate students in computational biology, data mining and knowledge discovery, algorithms and complexity, and interdisciplinary fields of studies, including bioinformatics, health-informatics, biostatistics, biomedical engineering, and viroinformatics. Khalid Raza is an Assistant Professor, the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. His research interests include translational bioinformatics, computational intelligence methods and its applications in bioinformatics, viroinformatics, and health informatics. Nilanjan Dey is an Associate Professor, the Department of Computer Science and Engineering, JIS University, Kolkata, India. His research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining.

Book Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies

Download or read book Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies written by Patricia Ordonez de Pablos and published by Elsevier. This book was released on 2024-05-25 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies: Shaping Digital Future provides insight to the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. The book covers two important regions: Gulf Region (Bahrein, Kuwait, Oman, Qatar, and UAE) and Asia, and explores how these countries develop policies for healthy aging and how digital tools can serve these goals. This book delivers a collection of relevant, innovative research works on digital healthcare, with four main goals: (1) to cover two geographical regions (Asia and Gulf Region) with important advances in digital healthcare; (2) to present case studies in the field of IT and digital health during the pandemic and analyze the lessons from these studies; (3) to evaluate the latest advances in the field of digital healthcare (especially Artificial Intelligence [AI], Big Data, Blockchain, and 5G); and (4) to discuss implications for main stakeholders (patients, doctors, IT experts, directors, and policy managers) and recommendations for policy makers in these two regions and elsewhere. Delivers relevant case studies and experiences on digital healthcare from Asia and Gulf Region, covering important advances in digital healthcare Provides recommendations for policy makers in Asia, the Gulf Region, and around the world Discusses implications for main stakeholders (i.e., patients, doctors, IT experts, directors, and policy managers) and recommendations for policy makers in these two regions and elsewhere Investigates the interplay of several important research areas (e.g., digital healthcare, 5G, AI, Big Data, and Blockchain) with an emphasis on healthy aging

Book Managing Work in the Digital Economy

Download or read book Managing Work in the Digital Economy written by Stefan Güldenberg and published by Springer Nature. This book was released on 2021-03-22 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides well-founded insights and guidance to (self-)manage work in a globalized and digitalized knowledge economy with a perspective of the year 2030. International researchers and practitioners draw a picture of how, when, and where we will work most probably in 10 years. Many cases and examples make this work a compendium for learning and for implementing new leadership and management practices. The book assists managers, knowledge workers, human resource professionals, consultants, trainers, coaches in business, public administration, and non-profit organizations to shape the future of work. Drawing on the authors’ more than twenty years of research, teaching, and consulting experience, this is one of the first professional guidebooks to analyze and discuss strategies for digital and disruptive changes at the workplace.

Book Artificial Intelligence in Healthcare

Download or read book Artificial Intelligence in Healthcare written by Tianhua Chen and published by Springer Nature. This book was released on 2022-10-25 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes. From the individual chapters, the readers will be provided with a range of examples to illustrate the wide plethora of application domains utilizing state-of-the-art AI techniques, proving credence to the versatility and effectiveness of an AI approach in health care and medicine. We envisage that this book is ideal for individuals new to the notion of AI in health care, equally, early career academics who wish to further expand on their knowledge in AI in medicine. What will be presented is in no means an exhaustive list of applications, but most definitely a varied one.

Book MEDINFO 2023     The Future Is Accessible

Download or read book MEDINFO 2023 The Future Is Accessible written by J. Bichel-Findlay and published by IOS Press. This book was released on 2024-04-02 with total page 1676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science-fiction author William Gibson is famously quoted as saying, “The future is already here – it's just not very evenly distributed.” During the Covid pandemic, telehealth and remote monitoring were elevated from interesting innovations to essential tools in many healthcare systems, but not all countries had the infrastructure necessary to pivot quickly, amply demonstrating the negative consequences of the digital divide. This book presents the proceedings of MedInfo 2023, the 19th World Congress on Medical and Health Informatics, held from 8 – 12 July 2023 in Sydney, Australia. This series of biennial conferences provides a platform for the discussion of applied approaches to data, information, knowledge, and wisdom in health and wellness. The theme and title of MedInfo 2023 was The Future is Accessible, but the digital divide is a major concern for health and care-informatics professionals, whether because of global economic disparities, digital literacy gaps, or limited access to reliable information about health. A total of 935 submissions were received for the conference, of which 228 full papers, 43 student papers and 117 posters were accepted following a thorough peer-review process involving 279 reviewers. Topics covered include: information and knowledge management; quality, safety and outcomes; health data science; human, organizational and social aspects; and global health informatics. Significant advances in artificial intelligence, machine learning, augmented reality, virtual reality, and genomics hold great hope for future healthcare planning, delivery, management, education, evaluation, and research, and this book will be of interest to all those working to not only exploit the benefits of these technologies, but also to identify ways to overcome their associated challenges.

Book Evidence Based Vascular Neuroimaging  An Issue of Neuroimaging Clinics of North America

Download or read book Evidence Based Vascular Neuroimaging An Issue of Neuroimaging Clinics of North America written by Ajay Malhotra and published by Elsevier Health Sciences. This book was released on 2021-05-05 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics focuses on Evidence-Based Vascular Neuroimaging and is edited by Drs. Ajay Malhotra and Dheeraj Gandhi. Articles will include: Unruptured Intracranial Aneurysms: Duration, Frequency and Modality Used for Surveillance; Vasospasm: Role of Imaging in Detection and Monitoring Treatment; Extracranial Vascular Disease: Carotid Stenosis and Plaque Imaging; Subarachnoid Hemorrhage: Distribution and Role of Imaging; Acute Ischemic Stroke: MRI-based Paradigms; Imaging of Intracranial Hemorrhage (Non-subarachnoid Hemorrhage); Brain Arteriovenous Malformations: The Role of Imaging in Treatment Planning and Monitoring Response; Intracranial Vascular Disease and Vessel Wall Imaging; Acute Ischemic Stroke: CT/CTA/CTP and Their Role; Imaging for Treated Aneurysms (including clipping, coiling, stents, flow-diverters); and more!

Book Federated Learning and Privacy Preserving in Healthcare AI

Download or read book Federated Learning and Privacy Preserving in Healthcare AI written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-05-02 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. Federated Learning and Privacy-Preserving in Healthcare AI emerges as the definitive solution to balancing medical progress with patient data security. This carefully curated volume not only outlines the challenges of federated learning but also provides a roadmap for implementing privacy-preserving AI systems in healthcare. By decentralizing the training of AI models, federated learning mitigates the risks associated with centralizing patient data, ensuring that critical information never leaves its original location. Aimed at healthcare professionals, AI experts, policymakers, and academics, this book not only delves into the technical aspects of federated learning but also fosters a collaborative approach to address the multifaceted challenges at the intersection of healthcare and AI.