Ai In Diagnostic Radiology Clinical Applications And Case Based Insights
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Ai In Diagnostic Radiology Clinical Applications And Case Based Insights
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Author : Kumar, Praveen
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Ai In Diagnostic Radiology Clinical Applications And Case Based Insights written by Kumar, Praveen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Medical categories.
AI rapidly transforms diagnostic radiology, offering powerful tools to enhance image interpretation, streamline workflows, and improve diagnostic accuracy. By utilizing deep learning algorithms trained on medical images, AI systems can detect abnormalities with precision comparable to experienced radiologists in certain contexts. These advancements have found real-world application in areas like chest X-ray analysis, mammography, CT and MRI interpretation, and triage in emergency imaging. Case-based insights demonstrate how AI assists in early disease detection, supports differential diagnosis, and reduces diagnostic errors, contributing to better patient outcomes. However, effective clinical integration requires careful validation, consideration of ethical implications, and collaboration between radiologists and AI developers to ensure technology works with, rather than replaces, human expertise. AI in Diagnostic Radiology: Clinical Applications and Case-Based Insights explores the use of AI in diagnostic radiology to enhance image analysis, improve diagnostic accuracy, and streamline clinical workflows. It explains real-world applications through case-based insights, demonstrating how AI supports radiologists in detecting and interpreting medical conditions. This book covers topics such as medical detection, deep learning, and radiology, and is a useful resource for medical professionals, computer engineers, academicians, researchers, and scientists.
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
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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
Current Controversies In Diagnostic And Interventional Radiology An Issue Of Radiologic Clinics Of North America E Book
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Author : Douglas S. Katz
language : en
Publisher: Elsevier Health Sciences
Release Date : 2024-10-15
Current Controversies In Diagnostic And Interventional Radiology An Issue Of Radiologic Clinics Of North America E Book written by Douglas S. Katz and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Medical categories.
In this issue of Radiologic Clinics, guest editors Drs. Douglas S. Katz and John J. Hines bring their considerable expertise to the topic of Current Evidence for Selected Topics in Diagnostic and Interventional Radiology. Current evidence in radiology asks the question: what is the most appropriate imaging test on the basis of the best available evidence, the physician's experience, and the patient's expectations? In this issue, top experts review current controversies in radiology and the evidence used to support or contradict the clinical question asked. - Contains 14 relevant, practice-oriented topics including how do we assess controversies using evidence-based radiology?; artificial intelligence in radiology; stroke: controversies in imaging, intervention, and management; manufactured "controversies" have obscured the importance of breast cancer screening; nuclear medicine controversies; and more. - Provides in-depth clinical reviews on current evidence for selected topics in diagnostic and interventional radiology, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Insights In Cardiovascular Imaging 2022
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Author : Christos Bourantas
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-21
Insights In Cardiovascular Imaging 2022 written by Christos Bourantas and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Medical categories.
The Future Of The Professions
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Author : Richard E. Susskind
language : en
Publisher: Oxford University Press
Release Date : 2022
The Future Of The Professions written by Richard E. Susskind and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Business & Economics categories.
With a new preface outlining the most recent critical developments, this updated edtion of The Future of the Professions predicts how technology will transform the work of doctors, teachers, architects, lawyers, and many others in the 21st century, and introduces the people and systems that may replace them.
Code Blue To Code Ai
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Author : SUDHANSHU TONPE
language : en
Publisher: Shashwat Publication
Release Date : 2024-08-23
Code Blue To Code Ai written by SUDHANSHU TONPE and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Fiction categories.
The unique selling proposition (USP) of "Code Blue to Code AI" lies in its comprehensive exploration of the transformative impact of artificial intelligence (AI) on the healthcare industry. Authored by Dr. Sudhanshu Tonpe, the book stands out by: Expertise: Dr. Tonpe, an accomplished radiologist, brings his firsthand experience and insights to provide an authoritative perspective on the integration of AI in healthcare. Holistic Coverage: The book covers various facets, including medical diagnostics, drug discovery, patient engagement, and the collaboration between AI and healthcare professionals, offering a well-rounded understanding of the subject. Real-world Examples: By incorporating real-world case studies and examples, the book bridges the gap between theory and practical application, making the content relatable and insightful. Accessible Language: Dr. Tonpe communicates complex concepts in a clear and accessible language, making the book suitable for both healthcare professionals and a broader audience interested in the intersection of medicine and AI. Current Relevance: Given the dynamic nature of healthcare and AI, the book is likely to address contemporary issues and trends, keeping the content relevant and up-to-date. In essence, "Code Blue to Code AI" offers a unique blend of expertise, comprehensive coverage, practical examples, and accessibility, making it a valuable resource for anyone interested in the future of healthcare through the lens of artificial intelligence.
Ai For Radiology
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Author : Oge Marques
language : en
Publisher: CRC Press
Release Date : 2024-02-12
Ai For Radiology written by Oge Marques and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Computers categories.
Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.
Convergence Of Artificial Intelligence Machine Learning And The Internet Of Things In Industry 4 0 Applications
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Author : Amrita Rai
language : en
Publisher: Springer Nature
Release Date : 2025-08-30
Convergence Of Artificial Intelligence Machine Learning And The Internet Of Things In Industry 4 0 Applications written by Amrita Rai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.
The book offers valuable insights into research related to Industry 4.0 applications that utilize artificial intelligence (AI), machine learning (ML), and the Industrial Internet of Things (IIoT). Industry 4.0, also known as the Fourth Industrial Revolution, includes disruptive technologies such as the Internet of Things (IoT), robotics, virtual reality (VR), VLSI architecture, and AI, all of which are transforming modern society and manufacturing practices. This book addresses various aspects of smart industrial application design strategies and their effects on next-generation systems, including quantum computing, edge computing, IoT, cybersecurity, nano-communications, and robotic automation. The application of AI, machine learning techniques, and IoT is anticipated to improve the performance of automated and controlled systems. Intended as a resource for academics, researchers, and professionals in the fields of AI and ML, the content also explores their applications within the industrial revolution and the influence of VLSI on the global market. Additionally, the book serves as a reference for developing sustainable engineering solutions to address various global industrial challenges.
Lightweight Digital Trust Architectures In The Internet Of Medical Things Iomt
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Author : Hassan, Ahdi
language : en
Publisher: IGI Global
Release Date : 2024-05-17
Lightweight Digital Trust Architectures In The Internet Of Medical Things Iomt written by Hassan, Ahdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Medical categories.
In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.