Artificial Intelligence For Smart Health Learning Simulation And Optimization
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Artificial Intelligence For Smart Health Learning Simulation And Optimization
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Author : Bing Yao
language : en
Publisher: Frontiers Media SA
Release Date : 2025-03-07
Artificial Intelligence For Smart Health Learning Simulation And Optimization written by Bing Yao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Science categories.
With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available and accessible in the clinical environment. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. However, it is widely acknowledged that biomedical and healthcare data contain high dimensions, large volumes, missing values, imbalanced classes, heterogeneous sources, multi-modalities, and measurement noises. These inherent features pose significant barriers to the translation of data into meaningful clinical actions. Thus, there arises an urgent and compelling need for the development of innovative machine learning, simulation, and optimization algorithms to cope with the unique challenges associated with biomedical and healthcare data, facilitating the transformation of data into actionable insights for smart health. Our Research Topic aims at catalyzing synergies among biomedical informatics, machine learning, computer simulation, operations research, systems engineering, and other related fields with three specific goals: (1) develop cutting-edge data-driven models to accelerate scientific knowledge discovery in biomedicine from medical and healthcare data collected from laboratory systems, imaging systems, and medical and sensing devices; (2) develop advanced simulation and calibration algorithms to build personalized digital twins by effectively assimilating patient-specific medical data with population-level computer models, facilitating precision medical planning; (3) develop innovative optimization algorithms for optimal medical decision making in the face of uncertainty factors, conflicting objectives, and complex trade-offs. This Research Topic will offer a timely collection of information to benefit the researchers and practitioners working in the broad fields of biomedical informatics, healthcare data analytics, medical image processing, and health-related artificial intelligence. By harnessing the potential of machine learning, computational simulation, and mathematical optimization techniques, healthcare professionals can effectively analyze and interpret the vast amount of biomedical data available to them, which will ultimately lead to more accurate disease diagnosis, personalized treatment plans, and improved patient outcomes.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Generative Artificial Intelligence For Biomedical And Smart Health Informatics
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Author : Aditya Khamparia
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-05
Generative Artificial Intelligence For Biomedical And Smart Health Informatics written by Aditya Khamparia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Medical categories.
Enables readers to understand the future of medical applications with generative AI and related applications Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices. Topics covered include: Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.
Deep Learning For Smart Healthcare
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Author : K. Murugeswari
language : en
Publisher: CRC Press
Release Date : 2024-05-15
Deep Learning For Smart Healthcare written by K. Murugeswari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Medical categories.
Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
Artificial Intelligence For Smart Healthcare
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Author : Parul Agarwal
language : en
Publisher: Springer Nature
Release Date : 2023-06-09
Artificial Intelligence For Smart Healthcare written by Parul Agarwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-09 with Technology & Engineering categories.
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
Smart Health
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Author : Andreas Holzinger
language : en
Publisher: Springer
Release Date : 2015-02-24
Smart Health written by Andreas Holzinger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-24 with Medical categories.
Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.
Sensor Networks For Smart Hospitals
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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-01-23
Sensor Networks For Smart Hospitals written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Computers categories.
Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. - Describes the fundamentals of sensors, biosensors, and smart hospitals - Explains how sensors and implanted nanodevices can be used in smart healthcare - Discusses how intelligent wireless medical sensor networks can be used for healthcare in the future - Companion volume to Advanced Sensors for Smart Healthcare
Mechatronic Futures
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Author : Peter Hehenberger
language : en
Publisher: Springer Nature
Release Date : 2025-06-23
Mechatronic Futures written by Peter Hehenberger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Technology & Engineering categories.
This book, a new and revised edition of “Mechatronic Futures”, sets out to identify and discuss the key issues likely to impact on the design and implementation of future mechatronic systems. In doing so, it offers a comprehensive overview of the challenges, risks and options that define the future of mechatronics and provides insights into how these issues are currently being assessed and managed. The book aims to support mechatronics practitioners in identifying key areas in design, modelling and technology and to place these in the wider context of concepts such as cyber-physical systems, Digital Twins and the Internet of Things and alongside issues such as privacy, security and sustainability. For educators, it considers the potential effects of developments in these areas on mechatronic course design, and ways of integrating these. Written by experts in the field, it explores topics including systems integration, design, modelling, privacy, ethics, lifecycle monitoring, sustainability and other potential future application domains. This new edition contains many new chapters as well as updated and revised chapters from the previous edition, and takes into account how recent significant developments in artificial intelligence and cyber-security are changing how current mechatronic systems are designed, manufactured, operated, used and potentially recycled. Highlighting novel innovations and directions, the book is intended for academics, engineers, managers, researchers and students working in the field of mechatronics, particularly those developing new concepts, methods and ideas.
Digital Innovation For Healthcare In Covid 19 Pandemic Strategies And Solutions
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Author : Patricia Ordonez de Pablos
language : en
Publisher: Academic Press
Release Date : 2022-03-11
Digital Innovation For Healthcare In Covid 19 Pandemic Strategies And Solutions written by Patricia Ordonez de Pablos and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Medical categories.
Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions provides comprehensive knowledge and insights on the application of information technologies in the healthcare sector, sharing experiences from leading researchers and academics from around the world. The book presents innovative ideas, solutions and examples to deal with one of the major challenges of the world, a global problem with health, economic and political dimensions. Advanced information technologies can play a key role in solving problems generated by the COVID-19 outbreak. The book addresses how science, technology and innovation can provide advances and solutions to new global health challenges. This is a valuable resource for researchers, clinicians, healthcare workers, policymakers and members of the biomedical field who are interested in learning how digital technologies can help us avoid and solve global disease dissemination. - Presents real-world cases with experiences of applications of healthcare solutions during the pandemic of COVID-19 - Discusses new approaches, theories and tools developed during an unprecedented health situation and how they can be used afterwards - Encompasses information on preparedness for future outbreaks to make less costly and more effective healthcare responses to crises