Artificial Intelligence Machine Learning In Nuclear Medicine And Hybrid Imaging

Author : Patrick Veit-Haibach,Ken Herrmann
Publisher : Springer Nature
Page : 217 pages
File Size : 53,7 Mb
Release : 2022-06-22
Category : Medical
ISBN : 9783031001192

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Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging by Patrick Veit-Haibach,Ken Herrmann Pdf

This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.

Author : Dani Wade
Publisher : Unknown
Page : 28 pages
File Size : 55,6 Mb
Release : 2021-04-10
Category : Electronic
ISBN : 9798736081936

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Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives by Dani Wade Pdf

Artificial intelligence (AI) is developing into an integral part of nuclear medicine.1 It has already been employedfor various approaches including image analysis, image pre- and post-processing, prediction of adverse reactions to thera- pies, and optimization of staging categories. In this Book , current concepts and future perspectives of image analysisand image pre- and post-processing were reviewed. This lim- itation seemed necessary to sketch fundamental trends in AI and review their relevance for future developments in the field of nuclear medicine.

Author : Richard Bell
Publisher : Unknown
Page : 37 pages
File Size : 40,7 Mb
Release : 2021-09-27
Category : Electronic
ISBN : 9798485352516

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Artificial Intelligence and Machine Learning in Nuclear Medicine by Richard Bell Pdf

Artificial intelligence (AI) is developing into an ntegral part of nuclear medicine.1 It has already been employed for various approaches including image analysis, image pre- and post-processing, prediction of adverse reactions to thera- pies, and optimization of staging categories. In this Book , current concepts and future perspectives of image analysis and image pre- and post-processing were reviewed. This lim- itation seemed necessary to sketch fundamental trends in AI and review their relevance for future developments in the field of nuclear medicine.

Author : Babak Saboury,Eliot Siegel
Publisher : Elsevier Health Sciences
Page : 225 pages
File Size : 44,7 Mb
Release : 2021-09-21
Category : Medical
ISBN : 9780323835619

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Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics by Babak Saboury,Eliot Siegel Pdf

Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book

Author : Giorgio Treglia,Salvatore Annunziata
Publisher : Frontiers Media SA
Page : 133 pages
File Size : 44,6 Mb
Release : 2023-06-14
Category : Medical
ISBN : 9782832526347

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Radiomics and artificial intelligence in radiology and nuclear medicine by Giorgio Treglia,Salvatore Annunziata Pdf

Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 47,5 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782

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Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Pdf

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.

Author : Arman Rahmim,Babak Saboury,Eliot Siegel
Publisher : Elsevier Health Sciences
Page : 241 pages
File Size : 52,8 Mb
Release : 2021-11-27
Category : Medical
ISBN : 9780323850148

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Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book by Arman Rahmim,Babak Saboury,Eliot Siegel Pdf

In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing 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 these timely topic-based reviews.

Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 381 pages
File Size : 42,7 Mb
Release : 2022-11-10
Category : Science
ISBN : 9780443184512

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Applications of Artificial Intelligence in Medical Imaging by Abdulhamit Subasi Pdf

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Author : Anbarasan, Kalaivani
Publisher : IGI Global
Page : 248 pages
File Size : 50,8 Mb
Release : 2021-01-01
Category : Medical
ISBN : 9781799830931

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AI Innovation in Medical Imaging Diagnostics by Anbarasan, Kalaivani Pdf

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.

Author : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Publisher : CRC Press
Page : 200 pages
File Size : 55,6 Mb
Release : 2019-08-20
Category : Computers
ISBN : 9780429639326

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Medical Imaging by K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey Pdf

The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Author : Euclid Seeram,Vijay Kanade
Publisher : Springer
Page : 0 pages
File Size : 51,5 Mb
Release : 2024-11-04
Category : Medical
ISBN : 3031640489

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Artificial Intelligence for Medical Imaging Technology by Euclid Seeram,Vijay Kanade Pdf

This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.

Author : Lia Morra,Silvia Delsanto,Loredana Correale
Publisher : CRC Press
Page : 162 pages
File Size : 49,5 Mb
Release : 2019-11-25
Category : Science
ISBN : 9781000753202

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Artificial Intelligence in Medical Imaging by Lia Morra,Silvia Delsanto,Loredana Correale Pdf

This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective

Author : Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Publisher : CRC Press
Page : 215 pages
File Size : 49,9 Mb
Release : 2020-12-22
Category : Medical
ISBN : 9781000337075

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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi Pdf

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

Author : Jie Yang,Shigao Huang
Publisher : Bentham Science Publishers
Page : 154 pages
File Size : 45,7 Mb
Release : 2021-06-01
Category : Medical
ISBN : 9781681088426

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Current and Future Application of Artificial Intelligence in Clinical Medicine by Jie Yang,Shigao Huang Pdf

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

Author : John A. Andreou,Paris A. Kosmidis,Athanasios D. Gouliamos
Publisher : Springer Nature
Page : 156 pages
File Size : 43,8 Mb
Release : 2022-10-22
Category : Medical
ISBN : 9783031100901

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Artificial Intelligence in PET/CT Oncologic Imaging by John A. Andreou,Paris A. Kosmidis,Athanasios D. Gouliamos Pdf

This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists.