Revolutionising Medical Imaging With Computer Vision And Artificial Intelligence
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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.
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
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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
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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.
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.
Application Of Generative Ai In Healthcare Systems
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Author : Azadeh Zamanifar
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Application Of Generative Ai In Healthcare Systems written by Azadeh Zamanifar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Medical categories.
Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
Digital Transformation Artificial Intelligence And Society
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Author : Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-08-18
Digital Transformation Artificial Intelligence And Society written by Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-18 with Business & Economics categories.
This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.
Data Ethics
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Author : LarsGoran Bostrom
language : en
Publisher: B-InteraQtive Publishing
Release Date : 2024-11-29
Data Ethics written by LarsGoran Bostrom and has been published by B-InteraQtive Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
Embark on a journey through the transformative world of deep tech and data ethics with this comprehensive guide. Explore the profound impact of technologies like AI, biotechnology, and quantum computing on society, the economy, and our daily lives. Delve into the ethical dilemmas they present, from algorithmic bias and privacy concerns to the future of work and human autonomy. About the book Unleash the Power of Deep Tech, Ethically: This comprehensive guide explores the transformative potential of deep tech innovations like AI, robotics, and biotechnology while addressing the critical ethical dilemmas they pose. From Ancient Wisdom to Modern Dilemmas: Delve into the philosophical roots of ethics and examine their relevance in the age of data-driven decision-making. Master the Ethical Frameworks: Learn how to apply practical ethical frameworks like the Asilomar AI Principles and the EU AI Act to ensure responsible and equitable technology development. Confront the Challenges: Explore the complexities of algorithmic bias, privacy concerns, and the impact of automation on society. Shape a Better Future: Discover strategies for navigating the ethical landscape of deep tech and harnessing its power for the benefit of humanity. Order your copy today and embark on a journey towards responsible innovation and ethical decision-making in the world of deep tech. Future Prospects of data ethics: Become a Data Ethicist As the importance of ethical considerations in technology grows, so does the demand for skilled data ethicists. This book serves as your introduction to this exciting and impactful field. For those seeking to deepen their knowledge and acquire the necessary skillset, our related online course offers comprehensive training and practical experience. Whether you’re a tech enthusiast, a policymaker, or simply curious about the future, this book and the accompanying online course will equip you with the knowledge and tools to navigate the ethical landscape of deep tech and contribute to a responsible and equitable technological future. This thought-provoking book is a must-read for anyone interested in the intersection of technology, ethics, and the future of our society. LarsGoran Bostrom is a distinguished expert in the field of data ethics, with a deep understanding of the ethical complexities surrounding emerging technologies. He combines his expertise in data ethics with a passion for learning design, creating engaging and insightful educational experiences that empower individuals and organizations to navigate the ethical landscape of the digital age.
Revolutionizing Medical Systems Using Artificial Intelligence
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Author : Ashish Kumar
language : en
Publisher: Elsevier
Release Date : 2025-01-31
Revolutionizing Medical Systems Using Artificial Intelligence written by Ashish Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Science categories.
Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases. - Provides a wide range of coverage for various prediction and segmentation algorithms that are based on machine learning and deep learning technology - Covers various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patients - Highlights improvements in quality and efficiency of medical decision-making in the early detection of critical diseases using AI
Ai And Machine Learning Techniques For Wildlife Conservation
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Author : Raghav, Yogita Yashveer
language : en
Publisher: IGI Global
Release Date : 2025-02-11
Ai And Machine Learning Techniques For Wildlife Conservation written by Raghav, Yogita Yashveer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Nature categories.
As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation. AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.