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Enhancing Medical Imaging with Emerging Technologies

Enhancing Medical Imaging with Emerging Technologies PDF Author: Sharma, Avinash Kumar
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 412

Book Description
The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.

Enhancing Medical Imaging with Emerging Technologies

Enhancing Medical Imaging with Emerging Technologies PDF Author: Sharma, Avinash Kumar
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 412

Book Description
The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.

ENHANCING MEDICAL IMAGING WITH EMERGING TECHNOLOGIES.

ENHANCING MEDICAL IMAGING WITH EMERGING TECHNOLOGIES. PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging PDF Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 373

Book Description
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 implications for 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.

Advancing Nuclear Medicine Through Innovation

Advancing Nuclear Medicine Through Innovation PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309134153
Category : Medical
Languages : en
Pages : 173

Book Description
Nearly 20 million nuclear medicine procedures are carried out each year in the United States alone to diagnose and treat cancers, cardiovascular disease, and certain neurological disorders. Many of the advancements in nuclear medicine have been the result of research investments made during the past 50 years where these procedures are now a routine part of clinical care. Although nuclear medicine plays an important role in biomedical research and disease management, its promise is only beginning to be realized. Advancing Nuclear Medicine Through Innovation highlights the exciting emerging opportunities in nuclear medicine, which include assessing the efficacy of new drugs in development, individualizing treatment to the patient, and understanding the biology of human diseases. Health care and pharmaceutical professionals will be most interested in this book's examination of the challenges the field faces and its recommendations for ways to reduce these impediments.

PET/CT in Prostate Cancer

PET/CT in Prostate Cancer PDF Author: Gary Cook
Publisher: Springer
ISBN: 3319576240
Category : Medical
Languages : en
Pages : 60

Book Description
This pocket book explains the significant and well-documented impact that PET/CT can have on the management of prostate cancer through the provision of high-quality evidence regarding function and structure. Up-to-date information is supplied on the relevance of PET/CT to diagnosis, treatment planning, and therapy, including the emerging role of PET/CT with PSMA. Readers will also find clear explanation of the relation of the clinical and pathological background to imaging and the value of PET/CT compared with conventional radiological imaging. The book will be an excellent asset for referring clinicians, nuclear medicine/radiology physicians, radiographers/technologists, and nurses who routinely work in nuclear medicine and participate in multidisciplinary meetings. It is published within the Springer series Clinicians’ Guides to Radionuclide Hybrid Imaging, which presents contributions from professionals worldwide who share a common purpose in promoting nuclear medicine as an important imaging specialty for the diagnosis and management of oncological and non-oncological conditions.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

Book Description
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

Emerging Imaging Technologies in Medicine

Emerging Imaging Technologies in Medicine PDF Author: Mark A Anastasio
Publisher: CRC Press
ISBN: 9780367445898
Category :
Languages : en
Pages : 362

Book Description
From the discovery of x-rays in 1895 through the emergence of computed tomography (CT) in the 1970s and magnetic resonance imaging (MRI) in the 1980s, non-invasive imaging has revolutionized the practice of medicine. While these technologies have thoroughly penetrated clinical practice, scientists continue to develop novel approaches that promise to push imaging into entirely new clinical realms, while addressing the issues of dose, sensitivity, or specificity that limit existing imaging approaches. Emerging Imaging Technologies in Medicine surveys a number of emerging technologies that have the promise to find routine clinical use in the near- (less than five years), mid- (five to ten years) and long-term (more than ten years) time frames. Each chapter provides a detailed discussion of the associated physics and technology, and addresses improvements in terms of dose, sensitivity, and specificity, which are limitations of current imaging approaches. In particular, the book focuses on modalities with clinical potential rather than those likely to have an impact mainly in preclinical animal imaging. The last ten years have been a period of fervent creativity and progress in imaging technology, with improvements in computational power, nanofabrication, and laser and detector technology leading to major new developments in phase-contrast imaging, photoacoustic imaging, and optical imaging.

Advances in Healthcare Technology

Advances in Healthcare Technology PDF Author: Gerhard Spekowius
Publisher: Springer Science & Business Media
ISBN: 1402043848
Category : Medical
Languages : en
Pages : 565

Book Description
Improving healthcare and staying healthy is one of the most discussed and important issues in our society. Technology has played and will play an important role in many aspects of the healthcare system, and it offers new and better ways to solve the key health problems of the new century. This book describes valued contributions of technology for improving hospital and home healthcare, and gives a perspective on how they will influence critical aspects of future medical care. It provides an overview and discussion of trends, presents the state-of-the-art of important research areas, and highlights recent breakthrough results in selected fields, giving an outlook on game-changing developments in the coming decades. The material is arranged in 6 parts and a total of 31 chapters. The healthcare areas addressed are: General advances and trends in healthcare technology, diagnostic imaging, integration of imaging and therapy, molecular medicine, medical information technology and personal healthcare.

Emerging Technologies for Health and Medicine

Emerging Technologies for Health and Medicine PDF Author: Dac-Nhuong Le
Publisher: John Wiley & Sons
ISBN: 1119509882
Category : Computers
Languages : en
Pages : 318

Book Description
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. This groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of VR and AR healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in virtual reality (VR) and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing PDF Author: Rohit Raja
Publisher: CRC Press
ISBN: 1000337073
Category : Technology & Engineering
Languages : en
Pages : 196

Book Description
Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field