Generating Evidence For Artificial Intelligence Based Medical Devices
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Generating Evidence For Artificial Intelligence Based Medical Devices
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Author :
language : en
Publisher: World Health Organization
Release Date : 2021-11-18
Generating Evidence For Artificial Intelligence Based Medical Devices written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-18 with Social Science categories.
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
Who Expert Committee On Biological Standardization
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-05-26
Who Expert Committee On Biological Standardization written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Medical categories.
The 76th meeting of the WHO Expert Committee on Biological Standardization was held from 24 to 28 October 2023 by Zoom video conferencing. The meeting was opened on behalf of the Director-General of WHO by Dr Clive Ondari, Director, Health Products Policy and Standards. The Expert Committee on Biological Standardization reviews developments in the field of biological substances used in human medicine, which include vaccines, biotherapeutics, blood products and related substances, and in vitro diagnostic reagents. It coordinates activities leading to: (a) the adoption of WHO guidelines and recommendations for assuring the quality, safety and efficacy of such substances; and (b) the establishment of WHO international standards and other reference materials. The use of international reference materials for designating the activity of biological substances used in prophylaxis or therapy, or for ensuring the reliability of quality control or diagnostic procedures, allows for the comparison of data worldwide. Target audience includes - but is not limited to - regulators, manufacturers, policymakers, health workers, developers of vaccines and other biological products and academia.
Irb Human Research Protections And Data Ethics For Researchers
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Author : Throne, Robin
language : en
Publisher: IGI Global
Release Date : 2024-11-29
Irb Human Research Protections And Data Ethics For Researchers written by Throne, Robin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Technology & Engineering categories.
In the realm of academic research, ensuring ethical standards and compliance with human research protections poses a significant challenge for researchers and investigators. Navigating the complex landscape of institutional review boards (IRB), data ethics, and privacy regulations can often be daunting, especially for new investigators and doctoral students. The consequences of overlooking these critical aspects not only risk the integrity of research findings but also jeopardize the well-being and rights of human subjects involved in studies. IRB, Human Research Protections, and Data Ethics for Researchers emerges as a vital solution to address these challenges comprehensively. With over a decade of experience, Dr. Robin Throne of the University of the Cumberlands edited this book to serve as a guide for researchers, principal investigators, and research supervisors alike. By offering practical guidance and insights into navigating IRB policies, upholding human research protections, and ensuring data ethics compliance, this publication equips readers with the essential knowledge needed to conduct ethical research with integrity and rigor.
Benefits And Risks Of Using Artificial Intelligence For Pharmaceutical Development And Delivery
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2024-03-25
Benefits And Risks Of Using Artificial Intelligence For Pharmaceutical Development And Delivery written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Medical categories.
WHO recognizes that artificial intelligence (AI) holds great promise for pharmaceutical development and delivery. However, AI also presents risks and ethical challenges that must be addressed if societies, health systems and individuals are to fully reap its benefits. This discussion paper examines the expanding application of AI to each step of development and deployment of medicines and vaccines. AI is already used in most steps of pharmaceutical development, and, in the future, it is likely that nearly all pharmaceutical products that come to market will have been “touched” by AI at some point in their development, approval or marketing. Although these uses of AI may have a commercial benefit, it is imperative that use of AI also has public health benefit and appropriate governance.
Who Compendium Of Innovative Health Technologies For Low Resource Settings 2022
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2022-06-06
Who Compendium Of Innovative Health Technologies For Low Resource Settings 2022 written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-06 with Medical categories.
Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna 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 2024-06-21 with Computers categories.
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Machine Learning Models And Architectures For Biomedical Signal Processing
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Author : Suman Lata Tripathi
language : en
Publisher: Elsevier
Release Date : 2024-11-05
Machine Learning Models And Architectures For Biomedical Signal Processing written by Suman Lata Tripathi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques. - Covers the hardware architecture implementation of machine learning algorithms - Discusses the software implementation approach and the efficient hardware of machine learning application with FPGA - Presents the major design challenges and research potential in machine learning techniques
Inspection Of Medical Devices
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Author : Almir Badnjević
language : en
Publisher: Springer Nature
Release Date : 2023-11-26
Inspection Of Medical Devices written by Almir Badnjević and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-26 with Technology & Engineering categories.
This comprehensive guide invites nations worldwide to embark on a transformative journey, implementing independent third-party verification systems that ensure medical devices comply with both international and national regulations. Prepare to be captivated as we delve into the intricate processes, unveil essential procedures, and illuminate the paramount importance of establishing traceability for medical device measurements. Imagine a world where medical devices undergo rigorous independent safety and performance verification, guaranteeing the utmost reliability for patient diagnoses and treatment. This book takes you on a compelling exploration of precisely that vision. Focusing on cutting-edge diagnostic and therapeutic devices, it captures the very essence of the latest international directives and regulations, ensuring you stay ahead of the curve. This new edition goes beyond the conventional, delving into the realms of innovation and progress. Unveiling in-depth maintenance regimes within healthcare institutions, we provide you with invaluable insights into post-market surveillance. As the world embraces the transformative potential of artificial intelligence, we pave the way for evidence-based management of medical device maintenance—a concept poised to reshape the healthcare landscape. Imagine a future where medical devices are seamlessly integrated into the legal metrology system, while fully operational national laboratories for medical device inspection set new standards of excellence. This book vividly illustrates how such a powerful union can elevate the reliability of medical devices in diagnosis and patient care. Brace yourself for a paradigm shift that not only enhances efficacy but also leads to significant cost reductions within your country's healthcare system. Join us on this extraordinary journey as we unveil the untapped potential of medical device inspection. With our innovative approach and unrivaled expertise, together we can revolutionize healthcare, transforming the lives of countless patients worldwide. Get ready to be inspired, informed, and empowered—welcome to the future of healthcare!
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.