Advancing Healthcare Through Decision Intelligence
DOWNLOAD
Download Advancing Healthcare Through Decision Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advancing Healthcare Through Decision Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advancing Healthcare Through Decision Intelligence
DOWNLOAD
Author : Somen Dey
language : en
Publisher: Academic Press
Release Date : 2025-03-28
Advancing Healthcare Through Decision Intelligence written by Somen Dey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Science categories.
Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine learning, robotics, and analytics - to drive innovation and improvements in healthcare delivery and outcomes. The book provides a comprehensive overview of the latest developments in decision intelligence technologies, and offers a practical resource that can help navigate through the complex landscape of healthcare decision-making. In 5 themes Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics focuses on the use of data analytics aad management techniques in healthcare to improve decision-making and healthcare outcomes, on the use of robotics, robots and genomics to improve biomedical informatics, on the use of genomics, clinical decision support systems (CDSS), machine learning, and deep learning to improve precision medicine and personalized treatment and on the ethical implications of using artificial intelligence (AI) in healthcare, ensuring trust in the technology, and making sure that it can be explained and understood by all stakeholders. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field. - Provide up-to-date knowledge on decision intelligence technologies, such as machine learning, robotics, and data analytics their applications in the field of healthcare - Presents a range of case studies, practical examples, and theoretical concepts that illustrate how decision intelligence can be applied in areas such as diagnosis, treatment planning, and resource allocation - Empowers readers to make informed decisions that can improve the quality of care and outcomes for patients, while also enhancing the efficiency and effectiveness of healthcare systems
Artificial Intelligence In Healthcare
DOWNLOAD
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
Advancing Healthcare Through Data Driven Innovations
DOWNLOAD
Author : Gunjan Rehani
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Advancing Healthcare Through Data Driven Innovations written by Gunjan Rehani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Law categories.
The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.
Algorithms In Advanced Artificial Intelligence
DOWNLOAD
Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2025-05-23
Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.
Explainable Artificial Intelligence In The Healthcare Industry
DOWNLOAD
Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05
Explainable Artificial Intelligence In The Healthcare Industry written by Abhishek Kumar 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 2025-03-05 with Computers categories.
Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.
Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability
DOWNLOAD
Author : Rubee Singh
language : en
Publisher: Springer Nature
Release Date : 2025-01-22
Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability written by Rubee Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.
Healthcare And Artificial Intelligence
DOWNLOAD
Author : Bernard Nordlinger
language : en
Publisher: Springer Nature
Release Date : 2020-03-17
Healthcare And Artificial Intelligence written by Bernard Nordlinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Technology & Engineering categories.
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
Advanced Computational Intelligence Paradigms In Healthcare 1
DOWNLOAD
Author : Hiroyuki Yoshida
language : en
Publisher: Springer
Release Date : 2007-04-27
Advanced Computational Intelligence Paradigms In Healthcare 1 written by Hiroyuki Yoshida and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-27 with Technology & Engineering categories.
This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; case-based reasoning in medicine; assessing the quality of care in AI environment; electronic medical record to examine physician decisions; multi-agent systems for the management of community healthcare; assistive wheelchair navigation; and more.
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing
DOWNLOAD
Author : Sujata Dash
language : en
Publisher: Springer Nature
Release Date : 2021-11-05
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing written by Sujata Dash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Technology & Engineering categories.
This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.
Regulating Artificial Intelligence In Industry
DOWNLOAD
Author : Damian M. Bielicki
language : en
Publisher: Routledge
Release Date : 2021-12-23
Regulating Artificial Intelligence In Industry written by Damian M. Bielicki and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-23 with Law categories.
Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.