Ai Implementation In Radiology PDF Download
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| Author | : Erik R. Ranschaert |
| Publisher | : Springer |
| Total Pages | : 373 |
| Release | : 2019-01-29 |
| Genre | : Medical |
| ISBN | : 3319948784 |
Download Artificial Intelligence in Medical Imaging Book in PDF, ePub and Kindle
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 | : Erik Ranschaert |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-10-30 |
| Genre | : Medical |
| ISBN | : 9783031689413 |
Download AI Implementation in Radiology Book in PDF, ePub and Kindle
This book describes change management in the context of implementing AI in medicine and radiology. Why do many medical institutions struggle to use AI in their clinical practice? What are the essential steps for and before an effective implementation of AI in radiology workflow? How can AI implementation trigger enduring improvements in the clinical process? The book shows how change management is crucial to effectively introduce AI to medicine and radiology, transform healthcare delivery and ensure a smooth transition while maximizing the benefits of AI and minimizing potential disruptions. Change management in the context of AI in medicine and radiology involves a systematic approach to identify, plan, implement, and evaluate the integration of AI technologies into healthcare systems. It engages the necessary stakeholders at the appropriate points in the process to ensure that change is implemented properly. By effectively managing the change, healthcare organizations can harness the potential of AI to enhance patient care, improve diagnosis accuracy, and optimize operational efficiency in radiology and other medical specialties. Throughout this change management process, organizations should prioritize ethical considerations, data privacy, and regulatory compliance to ensure that AI technologies are deployed responsibly and in accordance with relevant guidelines and regulations.
| Author | : Adam E. M. Eltorai |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024 |
| Genre | : Medical |
| ISBN | : 9781003095279 |
Download Impact of Artificial Intelligence in Radiology Book in PDF, ePub and Kindle
"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"--
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Download Artificial Intelligence in Healthcare Book in PDF, ePub and Kindle
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
| Author | : Hani H. Abujudeh |
| Publisher | : Oxford University Press |
| Total Pages | : 373 |
| Release | : 2012-03-08 |
| Genre | : Medical |
| ISBN | : 0199938237 |
Download Quality and Safety in Radiology Book in PDF, ePub and Kindle
Radiology has been transformed by new imaging advances and a greater demand for imaging, along with a much lower tolerance for error as part of the Quality & Safety revolution in healthcare. With a greater emphasis on patient safety and quality in imaging practice, imaging specialists are increasingly charged with ensuring patient safety and demonstrating that everything done for patients in their care meets the highest quality and safety standards. This book offers practical guidance on understanding, creating, and implementing quality management programs in Radiology. Chapters are comprehensive, detailed, and organized into three sections: Core Concepts, Management Concepts, and Educational & Special Concepts. Discussions are applicable to all practice settings: community hospitals, private practice, academic radiology, and government/military practice, as well as to those preparing for the quality and safety questions on the American Board of Radiology's "Maintenance of Certification" or initial Board Certification Examinations. Bringing together the various elements that comprise the quality and safety agenda for Radiology, this book serves as a thorough roadmap and resource for radiologists, technicians, and radiology managers and administrators.
| Author | : Maarten Rutten |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Download The Implementation of Artificial Intelligence in Radiology Departments Book in PDF, ePub and Kindle
The application of artificial intelligence (AI) in healthcare could substantially improve the doctor-patient relationship and reduce medical errors, inefficiencies and cost. However, there are many obstacles to AI implementation that prevent these potential benefits from materialising, which is why Dutch radiology departments are not even close to achieving wide scale adoption of AI. To reverse this situation, Dutch radiology departments should in the first place focus on implementing not just image interpretation AI tools, but AI tools along the entire radiology workflow. Further, they should cope via the radiological society of the Netherlands, the NVvR, with those challenges of AI implementation that can be best addressed via a focal point, on a national level. Dutch radiology departments should let their radiologists who are early adopters of AI share their knowledge on the potential of AI with the NVvR to get this organisation on board, as it is currently not embracing the topic of AI in radiology with conviction. Lastly, Dutch radiology departments should cope with certain challenges of AI implementation within the borders of the hospital, such as establishing an AI integration commission to cope with the high complexity of integrating AI tools.
| Author | : John D. Banja |
| Publisher | : Jones & Bartlett Learning |
| Total Pages | : 246 |
| Release | : 2004 |
| Genre | : Medical errors |
| ISBN | : 9780763783617 |
Download Medical Errors and Medical Narcissism Book in PDF, ePub and Kindle
Using the concept of medical narcissism the author examines both the psychological and biological factors involved when a physician decides not to disclose when a medical error has occurred.
| Author | : Oge Marques |
| Publisher | : CRC Press |
| Total Pages | : 157 |
| Release | : 2024-02-12 |
| Genre | : Computers |
| ISBN | : 1003836445 |
Download AI for Radiology Book in PDF, ePub and Kindle
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.
| Author | : Alex A.T. Bui |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 454 |
| Release | : 2009-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1441903852 |
Download Medical Imaging Informatics Book in PDF, ePub and Kindle
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
| Author | : Lia Morra |
| Publisher | : CRC Press |
| Total Pages | : 165 |
| Release | : 2019-11-25 |
| Genre | : Science |
| ISBN | : 1000753085 |
Download Artificial Intelligence in Medical Imaging Book in PDF, ePub and Kindle
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
