From Data To Diagnosis Integrating Cloud Computing Artificial Intelligence And Predictive Analytics In The Future Of Healthcare And Precision Medicine
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From Data To Diagnosis Integrating Cloud Computing Artificial Intelligence And Predictive Analytics In The Future Of Healthcare And Precision Medicine
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Author :
language : en
Publisher: Global Pen Press UK
Release Date :
From Data To Diagnosis Integrating Cloud Computing Artificial Intelligence And Predictive Analytics In The Future Of Healthcare And Precision Medicine written by and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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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.
Multidisciplinary Research Area In Arts Science Commerce Volume 2
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Author : Chief Editor- Biplab Auddya, Editor- Dr. Jasmina B.Solanki, Dr. M. Maria Sherine Sweeja, Dr. Devimeenakshi K, Dr. Nagaraj G U, Dr. Anushka Gkl Jain, Haridasan L
language : en
Publisher: The Hill Publication
Release Date : 2025-06-09
Multidisciplinary Research Area In Arts Science Commerce Volume 2 written by Chief Editor- Biplab Auddya, Editor- Dr. Jasmina B.Solanki, Dr. M. Maria Sherine Sweeja, Dr. Devimeenakshi K, Dr. Nagaraj G U, Dr. Anushka Gkl Jain, Haridasan L and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Antiques & Collectibles categories.
Integration Of Ai Quantum Computing And Semiconductor Technology
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2024-10-29
Integration Of Ai Quantum Computing And Semiconductor Technology written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Technology & Engineering categories.
The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers.
Transforming Healthcare With Artificial Intelligence
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Author : Suman Kumar Swarnkar
language : en
Publisher: Springer Nature
Release Date : 2025-07-25
Transforming Healthcare With Artificial Intelligence written by Suman Kumar Swarnkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations. With real-world examples of how AI is being used in hospitals, clinics, and research institutions around the world as well as insights from leading experts who provide readers with access to cutting-edge knowledge and diverse perspectives on the future of medicine, the book provides a comprehensive overview of the innovations driving the future of medicine. Healthcare is facing big challenges including the growing demand for medical services, the need for more accurate diagnoses, and the pressure to reduce costs. AI can help solve these problems by making healthcare more efficient, precise, and accessible to everyone. Appropriate for healthcare professionals, technology enthusiasts, or simply curious readers about the future of healthcare, this book offers a clear and engaging look at how AI is reshaping the medical landscape for the better. Specifically, the book covers various aspects of AI in healthcare, including diagnostics, treatment planning, patient monitoring, hospital management, and public health. In addition, the book presents the ethical, legal, and societal implications, providing a well-rounded discussion that considers both the opportunities and challenges of AI in healthcare.
Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25
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Author :
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17
Proceedings Of The International Conference On Artificial Intelligence And Cloud Icaic 25 written by and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.
Dr.A.Bamini, Assistant Professor and Head, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.P.Muthulakshmi, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India. Mrs.V.Vanthana, Assistant Professor, Department of Computer Applications, The Standard Fireworks Rajaratnam College for Women (Autonomous), Sivakasi, Tamil Nadu, India.
Establishing Ai Specific Cloud Computing Infrastructure
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Establishing Ai Specific Cloud Computing Infrastructure written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
As artificial intelligence (AI) continues to drive innovation across industries, the need for specialized cloud computing infrastructure to support AI workloads is critical. Traditional cloud platforms often struggle to meet the high computational demands and storage requirements of AI models, especially as they grow in complexity and scale. Establishing AI-specific cloud computing infrastructure involves designing systems optimized for the needs of AI, such as powerful processing capabilities, massive data storage, and real-time processing. With advancements in hardware like graphics processing units and tensor processing units, along with sophisticated data management solutions, businesses can better harness the full potential of AI technologies. This specialized infrastructure enhances the performance and scalability of AI applications while enabling faster innovation and more efficient deployment of AI-driven solutions across sectors. Establishing AI-Specific Cloud Computing Infrastructure explores how AI has evolved as a transformative new technology, capable of delivering large incremental value to a wide range of sectors. It examines recent advances in innovation, specifically how computing power, data storage, and digitized data have led to AI-based applications for business and governance. This book covers topics such as digital technology, sustainable development, and artificial intelligence, and is a useful resource for computer engineers, business owners, academicians, data scientists, and researchers.
Quantum Computing For Healthcare Data
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Author : Nagasubramanian Gayathri
language : en
Publisher: Elsevier
Release Date : 2025-01-17
Quantum Computing For Healthcare Data written by Nagasubramanian Gayathri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.
Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics. - Explores the challenges and opportunities presented by quantum computing technology within healthcare data and applications - Compares quantum machine learning models and analyzes which offer the most promise for healthcare data analytics - Presents a range of case studies where quantum computing is starting to be applied, including connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery
Integration Of Cloud Computing And Iot
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Author : Prabh Deep Singh
language : en
Publisher: CRC Press
Release Date : 2024-12-20
Integration Of Cloud Computing And Iot written by Prabh Deep Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and Internet of Things (IoT). It explores the practical challenges associated with the development and deployment of Cloud Computing and IoT-based solutions, including security, privacy, and interoperability issues. It includes various case studies, including Smart Cities, Network Security, Healthcare, Smart Urban Sensing, Agriculture, Mining, Railways, and Crime Investigations. It offers in-depth insights, developments, and practical applications, showcasing helpful tools and techniques in IoT and Cloud Computing. Key Features • Provide a comprehensive and accessible resource that covers a broad range of topics on the integration of Cloud Computing and IoT. • Shows how Cloud Computing and IoT are applied to various challenging situations. • Covers in-depth inference of Cloud Computing and IoT to real-world issues, which will assist the industrial sector in growth. • Includes discussion of how robust privacy solutions are important to enable effective integration between Cloud Computing and IoT-based applications. • Offers case studies and real-life examples from various sectors, including healthcare, agriculture, mining, smart transport, and underwater communication. The book is a comprehensive guide for professionals, researchers, and students interested in the latest Cloud Computing and IoT developments.
Artificial Intelligence And Machine Learning For Industry 4 0
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Author : M. Thirunavukkarasan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-10
Artificial Intelligence And Machine Learning For Industry 4 0 written by M. Thirunavukkarasan 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 2025-06-10 with Computers categories.
This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. This book emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial Intelligence and Machine Learning for Industry 4.0offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.