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Generative Artificial Intelligence For Biomedical And Smart Health Informatics

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Generative Artificial Intelligence For Biomedical And Smart Health Informatics

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Author : Aditya Khamparia
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-03

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 2025-01-03 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.

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

Artificial Intelligence In Microbial Research

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Author : Babita Pandey
language : en
Publisher: Springer Nature
Release Date : 2025-05-21

Artificial Intelligence In Microbial Research written by Babita Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Science categories.

This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. The book begins by establishing a foundation in the fundamentals of microbial ecosystems and AI principles. It elucidates the integration of AI in microbial genomics, demonstrating how advanced algorithms analyze genomic data and contribute to genetic engineering. Bioinformatics and computational microbiology are explored, showcasing AI's role in predictive modeling and computational tools. The intersection of AI and microbial applications extends to drug discovery, precision agriculture, and pathogen detection. Readers gain insights into AI-driven drug development, the optimization of agricultural practices using microbial biostimulants, and early warning systems for crop diseases. The book highlights AI's role in microbial biotechnology, elucidating its impact on bioprocessing, fermentation, and other biotechnological applications. Climate-smart agriculture and microbial adaptations to environmental challenges are discussed, emphasizing sustainable practices. This book caters to a diverse audience including teachers, researchers, microbiologist, computer bioinformaticians, plant and environmental scientists. The book serves as additional reading material for undergraduate and graduate students of computer science, biomedical, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read.

Generative Artificial Intelligence And Ethics Standards Guidelines And Best Practices

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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2024-10-10

Generative Artificial Intelligence And Ethics Standards Guidelines And Best Practices written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.

The rapid advancement of generative artificial intelligence (AI) has brought about significant ethical challenges. As machines become more adept at creating human-like content, concerns about misuse, bias, privacy, and accountability have emerged. Without clear guidelines and regulations, there is a risk of unethical use, such as creating deepfake videos or disseminating misinformation, which could have severe societal consequences. Additionally, questions about intellectual property rights and the ownership of AI-generated creations still need to be solved, further complicating the ethical landscape. The book, Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices, comprehensively solves these ethical challenges. By providing insights into the historical development and key milestones of Generative AI, the book lays a foundation for understanding its complex ethical implications. It examines existing ethical frameworks and proposes new ones tailored to AI's unique characteristics, helping readers apply traditional ethics to AI development and deployment.

Ensuring Secure And Ethical Stm Research In The Ai Era

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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-05-14

Ensuring Secure And Ethical Stm Research In The Ai Era written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Science categories.

As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.

Machine Learning And Generative Ai In Smart Healthcare

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Author : Purushotham, Swarnalatha
language : en
Publisher: IGI Global
Release Date : 2024-08-28

Machine Learning And Generative Ai In Smart Healthcare written by Purushotham, Swarnalatha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Medical categories.

The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management.

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

Convergence Of Internet Of Medical Things Iomt And Generative Ai

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Author : Kumar, V. Vinoth
language : en
Publisher: IGI Global
Release Date : 2025-02-05

Convergence Of Internet Of Medical Things Iomt And Generative Ai written by Kumar, V. Vinoth and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.

In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. Generative AI revolutionizes global health in areas like medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.

Proceedings Of The 15th International Marine Design Conference

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Author : Austin A. Kana
language : en
Publisher: TU Delft OPEN Publishing
Release Date : 2024-08-22

Proceedings Of The 15th International Marine Design Conference written by Austin A. Kana and has been published by TU Delft OPEN Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Technology & Engineering categories.

The 15th International Marine Design Conference (IMDC-2024) was organized by the Department of Maritime and Transport Technology, Delft University of Technology, and was hosted by the Netherlands Defence Materiel Organisation at the Marine Etablissement Amsterdam (MEA). The aim of the IMDC is to promote all aspects of marine design as an engineering discipline. The focus of IMDC-2024 is on the key design challenges and opportunities in the maritime field with special emphasis on the following themes. Ship design methodology issues such as: design spiral, systems engineering, set-based design, design optimisation, concurrent design, modular design, configuration based design, or 'fuzzy' design aspects. Novel marine design concepts, such as: hull form design, transport ships, service vessels, naval vessels, yachts and cruise ships, or specialized and complex vessels. Offshore design methodology, such as applications to: offshore wind turbines, semi-submersibles, floating fish farms, or floating cities. Influence of energy transition on maritime design, including both zero emission and high power and energy systems. Influence of unmanned and autonomous transition on maritime design. Influence of digital transition on maritime design, such as: digital shadows and twins, model-based systems engineering, AI, ML and big data. Influence of regulations on maritime design. Maritime design education

Generative Ai Techniques For Sustainability In Healthcare Security

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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2024-12-02

Generative Ai Techniques For Sustainability In Healthcare Security written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Medical categories.

In a world of constant change, sustainability and technology emerge as pivotal elements in healthcare. Generative artificial intelligence (AI) presents the capabilities of more accurate diagnoses, personalized treatment plans, and drug discovery, while certain operations in healthcare, such as managing relationships with healthcare systems often necessitate a human touch, these processes can be augmented by generative AI. Sustainability and health security are becoming increasingly important. The relationship between sustainability and health security is significant, as environmental factors such as air pollution, climate change, and access to green spaces can all affect human health. Generative AI Techniques for Sustainability in Healthcare Security provides a comprehensive understanding of generative AI techniques and their application for sustainability in health security, empowering readers with the knowledge needed to leverage these cutting-edge technologies effectively. Covering topics such as disease detection, drug discovery and development, and sustainability, this book is a valuable resource for scientists, medical professionals, hospital administrators, researchers, technologists, academicians, and more.

Generative Artificial Intelligence For Biomedical And Smart Health Informatics

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