The Implementation Of Artificial Intelligence In Radiology Departments 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 | : 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 | : Anthony J. G. Hey |
| Publisher | : |
| Total Pages | : 292 |
| Release | : 2009 |
| Genre | : Bioinformatics |
| ISBN | : |
Download The Fourth Paradigm Book in PDF, ePub and Kindle
Foreword. A transformed scientific method. Earth and environment. Health and wellbeing. Scientific infrastructure. Scholarly communication.
| 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 | : Mario Callegaro |
| Publisher | : SAGE |
| Total Pages | : 522 |
| Release | : 2015-04-30 |
| Genre | : Social Science |
| ISBN | : 1473927293 |
Download Web Survey Methodology Book in PDF, ePub and Kindle
Web Survey Methodology guides the reader through the past fifteen years of research in web survey methodology. It both provides practical guidance on the latest techniques for collecting valid and reliable data and offers a comprehensive overview of research issues. Core topics from preparation to questionnaire design, recruitment testing to analysis and survey software are all covered in a systematic and insightful way. The reader will be exposed to key concepts and key findings in the literature, covering measurement, non-response, adjustments, paradata, and cost issues. The book also discusses the hottest research topics in survey research today, such as internet panels, virtual interviewing, mobile surveys and the integration with passive measurements, e-social sciences, mixed modes and business intelligence. The book is intended for students, practitioners, and researchers in fields such as survey and market research, psychological research, official statistics and customer satisfaction research.
| 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 | : Sharma, Avinash Kumar |
| Publisher | : IGI Global |
| Total Pages | : 327 |
| Release | : 2024-03-11 |
| Genre | : Computers |
| ISBN | : |
Download Future of AI in Medical Imaging Book in PDF, ePub and Kindle
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.
| Author | : Daniel L. Rubin |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 201 |
| Release | : 2021-10-27 |
| Genre | : Medical |
| ISBN | : 0323813569 |
Download Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book Book in PDF, ePub and Kindle
Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book
| Author | : Eric Topol |
| Publisher | : Basic Books |
| Total Pages | : 373 |
| Release | : 2019-03-12 |
| Genre | : Health & Fitness |
| ISBN | : 1541644646 |
Download Deep Medicine Book in PDF, ePub and Kindle
A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.
| 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.
