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Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence


Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence
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Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence


Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence
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Author : Seema Bhatnagar
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2024-09-24

Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence written by Seema Bhatnagar and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 with Medical categories.


This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.



Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence


Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence
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Author : Seema Bhatnagar
language : en
Publisher:
Release Date : 2024

Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence written by Seema Bhatnagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Medical categories.


This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.



Artificial Intelligence In Medical Imaging


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.



Artificial Intelligence In Healthcare


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



A Text Book Of Concepts Of Artificial Intelligence


A Text Book Of Concepts Of Artificial Intelligence
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Author : Mahima Shanker Pandey
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-05-23

A Text Book Of Concepts Of Artificial Intelligence written by Mahima Shanker Pandey and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Study Aids categories.


“A Textbook of Concepts of Artificial Intelligence” serves as an indispensable guide for students, professionals, and enthusiasts eager to delve into the complex areas of AI. Written with precision and expertise, this comprehensive book provides a clear exploration of the fundamental concepts, cutting-edge principles, and practical applications in artificial intelligence. Structured with clarity and pedagogical efficiency, each chapter highlights a spectrum of AI concepts, from the fundamentals of machine learning and neural networks to advanced topics such as natural language processing and robotics. Through a mix of theoretical discourse and real world examples, the book bridges the gap between theoretical understanding and practical implementation, empowering readers to understand complex concepts easily. Emphasizing a practical approach, the textbook integrates practical exercises, coding examples, and case studies to reinforce learning and promote a deeper understanding of AI algorithms and techniques. Readers are guided through the intricacies of AI development, learning to design, implement, and evaluate intelligent systems in a variety of domains. Furthermore, the book explores the ethical implications and social impacts of AI technologies, inspiring critical reflection on the responsible deployment and governance of artificial intelligence in today's world. Written by experienced experts in the field, “A Textbook of Concepts of Artificial Intelligence” is not just a textbook, but a comprehensive resource that equips readers with the knowledge and skills to confidently navigate the dynamic landscape of artificial intelligence. Whether used in academia or industry, this book stands as an indispensable companion for anyone wishing to unlock the potential of AI and contribute meaningfully to its advancement.



Advanced Techniques In Medical Imaging


Advanced Techniques In Medical Imaging
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Author : Dr. Maram Ashok
language : en
Publisher: Quing Publications
Release Date : 2024-02-12

Advanced Techniques In Medical Imaging written by Dr. Maram Ashok and has been published by Quing Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Computers categories.


Medical imaging has revolutionised the field of healthcare, providing critical insights and aiding in accurate diagnoses. This book, "Advanced Techniques in Medical Imaging: Computer Vision and Machine Learning Approaches," begins with an introduction to the world of medical imaging, highlighting its importance and evolution. We then delve into the fundamentals of computer vision, a key component in interpreting complex medical images. Following this, an introduction to machine learning sets the stage for understanding how these powerful algorithms can be harnessed to analyse medical data. The book covers a wide range of topics, including image segmentation techniques that allow for precise identification of structures within medical images and feature extraction and representation, which are crucial for converting image data into usable information. We explore medical image classification, illustrating how different algorithms can differentiate between various conditions. A significant portion of the book is dedicated to deep learning architectures, which have shown remarkable success in medical diagnosis. We also discuss computer-aided diagnosis systems, becoming indispensable tools for clinicians. Finally, the book addresses the challenges faced in this field. It looks towards future directions, ensuring that readers are equipped with a comprehensive understanding of the current landscape and the potential advancements in medical imaging technology. This book aims to provide a thorough grounding in the latest techniques and approaches, making it an invaluable resource for researchers, practitioners, and students involved in the intersection of medical imaging, computer vision, and machine learning.



Artificial Intelligence In Healthcare Transforming The Medical Industry


Artificial Intelligence In Healthcare Transforming The Medical Industry
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Author : Michael Roberts
language : en
Publisher: Richards Education
Release Date :

Artificial Intelligence In Healthcare Transforming The Medical Industry written by Michael Roberts and has been published by Richards Education this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline clinical operations, and accelerate medical research. "Artificial Intelligence in Healthcare: Transforming the Medical Industry" is your comprehensive guide to understanding and leveraging AI technologies in the medical field. This book explores the various applications of AI in healthcare, from diagnostic tools and personalized medicine to administrative efficiency and patient management. With detailed case studies, expert insights, and practical advice, this handbook is an essential resource for healthcare professionals, technology enthusiasts, and industry leaders. Embrace the future of healthcare and discover how AI can transform the way we diagnose, treat, and manage diseases.



Oswaal Descriptive English Useful For Upsc Ssc Rrb Po Nabard And Rbi More Paperback Dr Hemant Srivastava


Oswaal Descriptive English Useful For Upsc Ssc Rrb Po Nabard And Rbi More Paperback Dr Hemant Srivastava
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Author : Oswaal Editorial Board
language : en
Publisher: Oswaal Books
Release Date : 2025-07-14

Oswaal Descriptive English Useful For Upsc Ssc Rrb Po Nabard And Rbi More Paperback Dr Hemant Srivastava written by Oswaal Editorial Board and has been published by Oswaal Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Study Aids categories.




Artificial Intelligence In Society


Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.



Artificial Intelligence Xli


Artificial Intelligence Xli
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Author : Max Bramer
language : en
Publisher: Springer Nature
Release Date : 2024-11-28

Artificial Intelligence Xli written by Max Bramer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.


This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 17–19, 2024. The 36 full papers and 18 short papers presented in these two volumes were carefully reviewed and selected from 80 submissions. Part I includes papers from the Technical stream, whereas Part II includes papers from the Application stream. These volumes are organized into the following topical sections: - Part I: Neural nets; Deep learning; Large language models; Machine learning; Evolutionary and genetic algorithms; Knowledge management, Short Technical Papers. Part II: Machine vision; Evaluation of AI systems; Applications of machine learning; Other AI applications, Short Application Papers.