Artificial Intelligence And Cloud Computing For Healthcare A Comprehensive Guide To Innovations And Applications
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Artificial Intelligence And Cloud Computing For Healthcare A Comprehensive Guide To Innovations And Applications
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Author : Dharma Teja Valivarthi
language : en
Publisher: Xoffencer International Book Publication house
Release Date : 2024-09-25
Artificial Intelligence And Cloud Computing For Healthcare A Comprehensive Guide To Innovations And Applications written by Dharma Teja Valivarthi and has been published by Xoffencer International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.
The fusion of Artificial Intelligence (AI) and Cloud Computing has revolutionized the healthcare sector, transforming how data is collected, stored, and analyzed, while also enabling real-time decision-making. AI technologies, such as machine learning (ML), natural language processing (NLP), and computer vision, when integrated with cloud platforms, provide scalable, secure, and cost-effective solutions to some of healthcare’s most pressing challenges. From diagnostic accuracy to predictive analytics, AI in healthcare harnesses the vast amounts of data stored in cloud infrastructures to drive more efficient operations, enhanced patient care, and improved medical research. Cloud computing provides the flexibility to manage enormous datasets, offering healthcare professionals the ability to access medical records, images, and treatment histories from any location at any time, making telemedicine a practical reality. Moreover, cloud-powered AI systems assist in processing complex medical images, detecting anomalies, predicting patient outcomes, and personalizing treatment plans, significantly enhancing the quality of healthcare delivery. Innovations in AI and cloud computing are not only improving clinical outcomes but also reshaping the economics of healthcare. Through data analysis and pattern recognition, AI-driven platforms predict disease outbreaks, optimize resource allocation, and streamline administrative processes, reducing costs and inefficiencies. Cloud computing, on the other hand, ensures that healthcare institutions can adopt advanced AI tools without investing in expensive hardware infrastructure. The combination of AI and cloud computing enhances data sharing among healthcare entities while ensuring compliance with stringent regulatory standards like HIPAA. Furthermore, AI models deployed on the cloud can continuously learn and improve, benefiting from updated datasets and algorithms, thus enabling healthcare systems to remain adaptive and responsive to new healthcare trends and challenges.
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
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care
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Author : Patrick Siarry
language : en
Publisher: Springer Nature
Release Date : 2021-08-11
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care written by Patrick Siarry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Technology & Engineering categories.
This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.
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.
Smart Healthcare Systems
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Author : Adwitiya Sinha
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2019
Smart Healthcare Systems written by Adwitiya Sinha and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Artificial intelligence categories.
About the Book The book provides details of applying intelligent mining techniques for extracting & pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis & Treatment options Applications of Big Data & Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare & analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions. ng in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare & analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.
Artificial Intelligence Healthcare Analyst The Comprehensive Guide
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Author : VIRUTI SHIVAN
language : en
Publisher: Viruti Satyan Shivan
Release Date :
Artificial Intelligence Healthcare Analyst The Comprehensive Guide written by VIRUTI SHIVAN and has been published by Viruti Satyan Shivan this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the rapidly evolving world of healthcare, Artificial Intelligence (AI) stands at the forefront, heralding a new era of precision, efficiency, and patient-centric care. "Artificial Intelligence Healthcare Analyst - The Comprehensive Guide" offers an unprecedented journey into the heart of this transformation, equipping professionals, enthusiasts, and newcomers with the knowledge to navigate, innovate, and excel in this dynamic field. Without relying on images or illustrations for clarity, this guide transcends the conventional, offering a deeply engaging and insightful exploration into how AI technologies are reshaping healthcare analytics, decision-making processes, and patient outcomes. Through vivid hypothetical scenarios and personal anecdotes from industry insiders, readers will discover the untapped potential of AI in healthcare, understanding its implications, ethical considerations, and the pathway to becoming proficient AI healthcare analysts. Dive into a world where data becomes a beacon of hope, and algorithms the architects of a healthier future. This book is more than just a guide; it's an invitation to be part of a revolution that promises to redefine healthcare delivery. As we peel back the layers of complexity surrounding AI applications in healthcare, readers will gain not only a comprehensive understanding of the tools and technologies but also an appreciation for the profound impact AI can have on human health. Without the need for images, the narrative is rich with examples and theoretical discussions that bring the subject to life, making "Artificial Intelligence Healthcare Analyst - The Comprehensive Guide" an essential resource for anyone looking to make a meaningful impact in the healthcare industry through the power of AI.
Artificial Intelligence In Healthcare
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Author : Lalit Garg
language : en
Publisher: Springer Nature
Release Date : 2021-10-29
Artificial Intelligence In Healthcare written by Lalit Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Technology & Engineering categories.
This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
Cloud Computing Exam Guide
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Author : cybellim
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Cloud Computing Exam Guide written by cybellim and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Text Book Of Artificial Intelligence
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Author : Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik
language : en
Publisher: Shashwat Publication
Release Date : 2025-04-25
Text Book Of Artificial Intelligence written by Dr. Rakesh Singh, Dr. Shuchi Dave, Prof. Sushil K. Kashaw, Prof. (Dr.) Sandeep Gangrade, Lalbihari Barik and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Fiction categories.
Textbook of Artificial Intelligence is a comprehensive guide for students, educators, and professionals seeking foundational and advanced knowledge in AI. It begins with a clear definition and history of Artificial Intelligence, helping readers understand its roots and evolution. The book explores real-world applications of AI across various industries including healthcare, finance, education, and autonomous systems. Core AI branches like Machine Learning, Deep Learning, NLP, Robotics, and Computer Vision are introduced with practical insights. In-depth coverage of Intelligent Agents explains their structure, types, and operating environments. The Problem Solving section walks readers through classic algorithms like BFS, DFS, A*, and adversarial search techniques. Knowledge Representation and Reasoning introduces propositional logic, predicate logic, semantic nets, and uncertainty models like Bayesian networks. Machine Learning fundamentals cover supervised, unsupervised, and reinforcement learning, alongside key algorithms and neural networks. Advanced topics like CNNs, RNNs, Transformers, GANs, and NLP tasks are well-structured for deeper understanding. Dedicated chapters on AI in real-world applications showcase use cases in robotics, vision, and recommender systems. Hands-on tools like TensorFlow, PyTorch, Keras, and data handling with Pandas and NumPy are introduced for practical learning. The book encourages ethical thinking with discussions on AI fairness, privacy, transparency, and regulation. A special focus on the future of AI covers trends like generative models, autonomous agents, and human-AI collaboration. Well-organized content helps learners connect theory to practical implementation and innovation. Step-by-step examples and algorithm breakdowns make complex topics easy to understand. Each chapter includes conceptual summaries, illustrations, and review questions for better retention. Perfect for beginners and intermediate learners, as well as educators designing AI curricula. Prepares students for research and industry careers with real-world insights and project ideas. Bridges the gap between traditional AI principles and modern AI technologies. A valuable reference for anyone passionate about building intelligent systems and exploring the world of AI.
Artificial Intelligence
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Author : Sandeep Reddy
language : en
Publisher: CRC Press
Release Date : 2020-12-02
Artificial Intelligence written by Sandeep Reddy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Business & Economics categories.
The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.