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The Application Of Artificial Intelligence In Interventional Neuroradiology
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Book Synopsis The application of artificial intelligence in interventional neuroradiology by : Yuhua Jiang
Download or read book The application of artificial intelligence in interventional neuroradiology written by Yuhua Jiang and published by Frontiers Media SA. This book was released on 2023-07-03 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Psychoradiology, An Issue of Neuroimaging Clinics of North America, Ebook by : Qiyong Gong
Download or read book Psychoradiology, An Issue of Neuroimaging Clinics of North America, Ebook written by Qiyong Gong and published by Elsevier Health Sciences. This book was released on 2019-12-03 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Psychoradiology, and is edited by Dr. Qiyong Gong. Articles will include: Clinical Strategies and Technical Challenges in Psychoradiology; Resting State Functional MRI for Psychiatry; Magnetic Resonance Spectroscopy for Psychiatry; Psychoradiology of Major Depression; Psychoradiological Biomarkers for Psychopharmaceutical Effects; Implementing Imaging into Clinical Routine Screening for Psychosis; Imaging of Autism; Individual-specific Analysis for Psychoradiology; Interventional Psychoradiology: Imaging Guided Therapeutic Intervention of Neuropsychiatric Disorders; Imaging-based Subtyping for Psychiatric Syndromes; Imaging of Post-Traumatic Stress Disorder; Imaging of Schizophrenia; and more!
Book Synopsis Artificial Intelligence in Medical Imaging by : Lia Morra
Download or read book Artificial Intelligence in Medical Imaging written by Lia Morra and published by CRC Press. This book was released on 2019-11-25 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choice Recommended Title, January 2021 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
Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by . This book was released on 2019 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Digestive Disease Interventions by : Baljendra S. Kapoor
Download or read book Digestive Disease Interventions written by Baljendra S. Kapoor and published by Thieme. This book was released on 2018-03-29 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively covers the rich spectrum of radiologic digestive disease interventions Greater understanding of gastrointestinal disease has resulted in an evolving array of minimally invasive and noninvasive techniques. Significant advances have maximized patient comfort, improved clinical outcomes, and minimized morbidity. Interventional radiologists are integral to the management of patients with a wide range of digestive disorders, often providing a critical or sole therapeutic option. The field has evolved from a procedure-based radiology subspecialty to a patient-based, clinical specialty working in concert with internists, gastroenterologists, oncologists, and surgeons. Digestive Disease Interventions edited by Baljendra Kapoor and Jonathan Lorenz fills an unmet need for a comprehensive resource covering interventional approaches. Throughout 30 succinct yet comprehensive chapters, top experts detail image-guided gastrointestinal interventions. A full spectrum of pathologies are encompassed — from benign refractory ascites and biliary strictures, to hepatocellular carcinoma, cholangiocarcinoma, pancreatic cancer, and more. Key Features Management and treatment of portal hypertension including disease knowledge, the use of shunts, and cutting-edge obliteration techniques Updates on recent advances and future directions such as obesity and bariatric embolization and islet cell transplantation State-of-the-art management of liver cancer: GI imaging, staging, ablation and embolization, liver transplants, and Y-90 Treatment of acute cholecystitis, cholelithiasis, and choledocholithiasis 640 high quality illustrations and halftones elucidate techniques This remarkable book is an invaluable resource for fellows, residents, and practitioners in the field of interventional radiology. It will also benefit other medical and surgical subspecialists who treat patients with digestive disorders.
Book Synopsis Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book by : Daniel L. Rubin
Download or read book Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book written by Daniel L. Rubin and published by Elsevier Health Sciences. This book was released on 2021-10-27 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book
Book Synopsis The Impact of Artificial Intelligence in Radiology by : Adam Eltorai
Download or read book The Impact of Artificial Intelligence in Radiology written by Adam Eltorai and published by . This book was released on 2024-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementation of artificial intelligence (AI) in Radiology is an important topic of discussion. By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in Radiology along with the clinical, financial, technological, and societal perspectives on the role of Radiologists.
Book Synopsis Demystifying Interventional Radiology by : Sriharsha Athreya
Download or read book Demystifying Interventional Radiology written by Sriharsha Athreya and published by Springer Nature. This book was released on 2022-10-19 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a concise introduction to the field of interventional radiology (IR), designed to help medical students and residents understand the fundamental concepts related to image-guided interventional procedures and determine the appropriate use of imaging modalities in the treatment of various disorders. It covers the history of interventional radiology; radiation safety; equipment; medications; and techniques such as biopsy and drainage, vascular access, embolization, and tumor ablation. The book also describes the indications, patient preparation, post-procedure care, and complications for the most common interventional radiology procedures. This second edition is fully updated throughout with the latest guidelines and recommendations. Specific updates include: the role of IR outpatient clinics and patient-centered care, prostatic artery embolization, Y90 embolization, embolization for joint disease, the role artificial intelligence plays in IR, and a new chapter on structured reporting in IR. Designed for students and trainees, chapters include key points or “tips and tricks” and review questions. This is an ideal guide for medical students and trainees interested in pursuing interventional radiology.
Book Synopsis Artificial Intelligence in Medical Imaging in China by : Shiyuan Liu
Download or read book Artificial Intelligence in Medical Imaging in China written by Shiyuan Liu and published by Springer Nature. This book was released on with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Impact of Artificial Intelligence in Radiology by : Adam E. M. Eltorai
Download or read book Impact of Artificial Intelligence in Radiology written by Adam E. M. Eltorai and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Implementation of artificial intelligence AI in Radiology is an important topic of discussion. Advances in AI which encompass machine learning, artificial neural networks, and deep learning are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, certain AI proponents have proposed to stop training radiologists now. By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in Radiology along with the clinical, financial, technological, and societal perspectives on the role and expected impact of AI in Radiology"--
Book Synopsis Machine Learning and Other Artificial Intelligence Applications, An Issue of Neuroimaging Clinics of North America, E-Book by : Reza Forghani
Download or read book Machine Learning and Other Artificial Intelligence Applications, An Issue of Neuroimaging Clinics of North America, E-Book written by Reza Forghani and published by Elsevier Health Sciences. This book was released on 2020-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
Book Synopsis Current Advances and Future Trends in Vascular Neurology, An Issue of Neurologic Clinics, E-Book by : Michael J. Schneck
Download or read book Current Advances and Future Trends in Vascular Neurology, An Issue of Neurologic Clinics, E-Book written by Michael J. Schneck and published by Elsevier Health Sciences. This book was released on 2024-06-27 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Neurologic Clinics, guest editor Dr. Michael J. Schneck brings his considerable expertise to the topic of Current Advances and Future Trends in Vascular Neurology. Top experts discuss biomarkers in ischemic and hemorrhagic stroke; AI and other computer prediction tools in stroke; cardioembolic stroke; small vessel disease; advances and future trends in the diagnosis and management of subarachnoid hemorrhage; and more. Contains 14 relevant, practice-oriented topics including new paradigms in stroke rehabilitation; the role of vascular neurology specialists; future trends in endovascular therapies beyond thrombolysis; future directions in the diagnosis and management of intracranial arterial disease; advances in genetics in stroke; and more. Provides in-depth clinical reviews on current advances and future trends in vascular neurology, 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.
Download or read book AI for Radiology written by Oge Marques and published by CRC Press. This book was released on 2024-02-12 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Medicine by : Jose M. Juarez
Download or read book Artificial Intelligence in Medicine written by Jose M. Juarez and published by Springer Nature. This book was released on 2023-06-04 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, held in Portoroz, Slovenia, in June12–15, 2023. The 23 full papers and 21 short papers presented together with 3 demonstration papers were selected from 108 submissions. The papers are grouped in topical sections on: machine learning and deep learning; explainability and transfer learning; natural language processing; image analysis and signal analysis; data analysis and statistical models; knowledge representation and decision support.
Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref
Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref and published by Academic Press. This book was released on 2020-11-20 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Book Synopsis Application of Artificial Intelligence in Early Detection of Lung Cancer by : Madhuchanda Kar
Download or read book Application of Artificial Intelligence in Early Detection of Lung Cancer written by Madhuchanda Kar and published by Elsevier. This book was released on 2024-05-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
