Artificial Intelligence Empowered Bio Medical Applications
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Artificial Intelligence Empowered Bio Medical Applications
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Author : Dimitrios P. Panagoulias
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Artificial Intelligence Empowered Bio Medical Applications written by Dimitrios P. Panagoulias and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and patient management. It then explores AI-driven healthcare systems, particularly the use of microservices to improve scalability and management. Additionally, it examines regulatory challenges, the need for AI explainability, and the PINXEL framework, which defines explainability requirements using the technology acceptance model (TAM) and the diffusion of innovation theory (DOI). Furthermore, the book evaluates the capabilities of large language models, including ChatGPT and GPT-4V, in medical applications, with a focus on diagnosis and structured assessments in general pathology. Lastly, it introduces an AI-powered system for primary care diagnosis that integrates language models, machine learning, and rule-based systems. The interactive AI assistants “Med|Primary AI assistant” and “Dermacen Analytica” leverage natural language processing, image analysis, and multi-modal AI to enhance patient interactions and provide healthcare professionals with high-accuracy, personalized diagnostic support. By taking a holistic approach, the book underscores the integration of AI into healthcare, aiming to support medical professionals in patient diagnosis and management with precision and adaptability.
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
Handbook Of Artificial Intelligence In Biomedical Engineering
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2021-03-29
Handbook Of Artificial Intelligence In Biomedical Engineering written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-29 with Technology & Engineering categories.
Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.
Embedded Systems For Biomedical Applications
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Author : Rishabha Malviya
language : en
Publisher: CRC Press
Release Date : 2025-03-18
Embedded Systems For Biomedical Applications written by Rishabha Malviya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.
This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation. Features: • Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals. • Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly. • Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings. • Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications. • Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field. This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.
Biomedical Signal Processing
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Author : Ganesh Naik
language : en
Publisher: Springer Nature
Release Date : 2019-11-12
Biomedical Signal Processing written by Ganesh Naik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Technology & Engineering categories.
This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.
Innovative Smart Healthcare And Bio Medical Systems
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Author : Abdel-Badeeh Salem
language : en
Publisher: CRC Press
Release Date : 2020-12-27
Innovative Smart Healthcare And Bio Medical Systems written by Abdel-Badeeh Salem and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-27 with Computers categories.
Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert decision support systems, Health 2.0 and Internet of Things (IoT). This book presents models for the deployment of intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care and lowering overall cost. It also discusses the potential role of the AI paradigms, computational intelligence and machine learning techniques which are used in developing the SHS. It will provide examples of potential usage of such technology in smart healthcare and and bio-medical systems. It will be an important read for researchers and professionals working in smart healthcare systems, as well as those working in the individual areas of networks, artificial intelligence and healthcare who want to see how an interdisciplinary approach can enhance the current technology.
Empowering Sustainable Industrial 4 0 Systems With Machine Intelligence
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Author : Ahmad, Muneer
language : en
Publisher: IGI Global
Release Date : 2022-04-01
Empowering Sustainable Industrial 4 0 Systems With Machine Intelligence written by Ahmad, Muneer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-01 with Computers categories.
The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.
Advances In Mechanical Engineering Materials And Mechanics Ii
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Author : Riadh Elleuch
language : en
Publisher: Springer Nature
Release Date : 2025-05-12
Advances In Mechanical Engineering Materials And Mechanics Ii written by Riadh Elleuch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Technology & Engineering categories.
This book reports on cutting-edge research in the broad fields of mechanical engineering and mechanics. It describes innovative applications and research findings in design and manufacturing, applied and fluid mechanics, dynamics and control, thermal science, and materials. It also highlights several relevant advances in industrial applications. All papers were carefully selected from contributions presented at the International Conference on Advances in Mechanical Engineering and Mechanics, ICAMEM 2024, held on June 28-30, 2024, in Sousse, Tunisia, and organized by the Laboratory of Electromechanical Systems (LASEM) at the National School of Engineers of Sfax (ENIS) and the Tunisian Scientific Society (TSS), in collaboration with a great number of national and international research institutions and laboratories.
Swarm Optimization For Biomedical Applications
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Author : Saurav Mallik
language : en
Publisher: CRC Press
Release Date : 2025-02-28
Swarm Optimization For Biomedical Applications written by Saurav Mallik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
Blockchain For Biomedical Research And Healthcare
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Author : Prasun Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-09-01
Blockchain For Biomedical Research And Healthcare written by Prasun Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Science categories.
Blockchain is a new type of technology that combines and secures information exchange between different stakeholders such as medical practitioners, patients, healthcare providers, and other applicable parties. Among them, Blockchain Technology is one of the most important areas in the bioinformatics application of biomedical research and healthcare systems utilizing unique requirements and integration features. All the chapters are written by experts and researchers working in various areas of the biomedical and healthcare domain and they also dive into one of the most overlooked methodological, practical, and moral questions to secure and handle the enormous amount of data being generated from IoT-enabled biomedical and healthcare systems. In the beginning, this book presents an overview and then discusses open issues, challenges, and applicability aspect of Blockchain technology in healthcare. Then, this book presents a variety of perspectives on the most pressing questions in the field, for example: how IoT can connect billions of biomedical and healthcare information; how the blockchain-based secure access control mechanisms in biomedical and healthcare work; how to address the Quality-of-Service (QoS) and real-time accessibility requirements for healthcare applications; and how to ensure communication with efficiency. Also, it discusses Blockchain for IoT-enabled healthcare systems and presents a comparative analysis with respect to various performance evaluation metrics too.