Smart Medical Imaging for Diagnosis and Treatment Planning
Smart Medical Imaging for Diagnosis and Treatment Planning

Author: Nilanjan Dey

Publisher: CRC Press

Published: 2024-07-31

Total Pages: 259

ISBN-13: 1040105629

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This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing; • Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare; • Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning; • Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies; • Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning; • Encompasses the ethical and legal challenges of using smart healthcare and medical data. This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

Principles and Advanced Methods in Medical Imaging and Image Analysis
Principles and Advanced Methods in Medical Imaging and Image Analysis

Author: Atam P. Dhawan

Publisher: World Scientific

Published: 2008

Total Pages: 869

ISBN-13: 9812705341

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Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionarizing tools for visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book provides a unique depth of knowledge from the principles to recent advanced methods in medical imaging instrumentation and techniques as well as multidimensional image analysis and classification methods for research, education and applications in computer-aided diagnostic radiology. Internationally renowned researchers and experts in their respective areas provide detailed description of the basic foundation as well as the most recent developments in medical imaging. This book helps readers to understand theoretical and advanced concepts for important research and clinical applications.

Future of AI in Medical Imaging
Future of AI in Medical Imaging

Author: Sharma, Avinash Kumar

Publisher: IGI Global

Published: 2024-03-11

Total Pages: 327

ISBN-13:

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Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

AI Innovation in Medical Imaging Diagnostics
AI Innovation in Medical Imaging Diagnostics

Author: Anbarasan, Kalaivani

Publisher: IGI Global

Published: 2021-01-01

Total Pages: 248

ISBN-13: 1799830934

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Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Clinician's Guide to Diagnostic Imaging
Clinician's Guide to Diagnostic Imaging

Author: William R. Reinus

Publisher: Springer Science & Business Media

Published: 2013-10-21

Total Pages: 186

ISBN-13: 1461487692

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This book is a concise guide to ordering radiology tests for diagnosis and treatment and provides best practice guidelines for patients whose management depends on a clinical question that is best approached through imaging. Organized primarily by organ system, it outlines considerations in selecting the most efficacious imaging studies based on the clinical history, laboratory values, and physical findings to arrive cost-effectively at a correct diagnosis. It also explores the current limitations of each imaging modality and presents evidence-based information to insure that patient safety considerations are observed when ordering potentially dangerous examinations. Clinician’s Guide to Diagnostic Imaging is a valuable resource for all physicians who regularly order imaging studies, including primary care physicians, family practitioners, internists, and surgeons alike. Further, this volume serves as an invaluable reference for medical students who are exposed to medical imaging for their first time or who are rotating through a radiology elective in medical school.

Medical Image Analysis and Informatics
Medical Image Analysis and Informatics

Author: Paulo Mazzoncini de Azevedo-Marques

Publisher: CRC Press

Published: 2017-11-23

Total Pages: 518

ISBN-13: 1498753205

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With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Handbook of Medical Imaging
Handbook of Medical Imaging

Author:

Publisher: Academic Press

Published: 2000-10-09

Total Pages: 983

ISBN-13: 0080533108

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In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images

Introduction to Medical Imaging Management
Introduction to Medical Imaging Management

Author: Bernard Rubenzer

Publisher: CRC Press

Published: 2013-01-14

Total Pages: 191

ISBN-13: 1439891842

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In the past, for the most part, people who moved into management positions in medical imaging were chosen because they were the best technologists. However, the skill set for technologists and supervisors/managers are vastly different. Even an MBA-educated person may not be ready to take on imaging management. As an example, when buying a very expe

MEDICAL IMAGE SYNTHESIS
MEDICAL IMAGE SYNTHESIS

Author:

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9781003243458

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Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Smart Technologies in Healthcare Management
Smart Technologies in Healthcare Management

Author: Nidhi Sindhwani

Publisher: CRC Press

Published: 2024-06-28

Total Pages: 229

ISBN-13: 1040030203

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Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.