Artificial Intelligence In Capsule Endoscopy
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| Author | : Miguel Mascarenhas |
| Publisher | : Elsevier |
| Total Pages | : 298 |
| Release | : 2023-02-09 |
| Genre | : Science |
| ISBN | : 0323996485 |
Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking Technique highlights the importance of Artificial Intelligence (AI) application in capsule endoscopy. AI will have a key role in the mid/long-term for gastrointestinal endoscopy and capsule endoscopy. This field is a prime area for the use of AI tools with over 50,000 images per endoscopy capsule video, making video analysis a time and resource consuming task and prone to error. With the application of AI image analysis tools (primarily Convolutional Neural Networks) we can decrease capsule endoscopy video reading time and resources and greatly benefit diagnostic accuracy and patient outcomes. In 15 chapters, this important reference provides a global and comprehensive perspective from the background information of AI, machine learning, deep learning and their implications in GI endoscopy. It showcases AI practical use in lesion detection and in relevant clinical indications (like obscure gastrointestinal bleeding and inflammatory bowel disease), and points to future applications of AI within the field. - Provides the current and developing practical application of AI tools in capsule endoscopy - Explains the disruptive nature of AI tools in capsule endoscopy video analysis to provide a better perspective on how AI will change the landscape of capsule endoscopy practice in the future - Includes specific lesion detection, delivering key summaries and practical applications regarding AI tools use - Bridges theorical foundations and practical utility of AI in capsule endoscopy
| Author | : Bo Shen |
| Publisher | : Academic Press |
| Total Pages | : 616 |
| Release | : 2020-05-14 |
| Genre | : Science |
| ISBN | : 0128148128 |
Atlas of Endoscopy Imaging in Inflammatory Bowel Disease is a complete reference providing all aspects of endoscopy imaging in inflammatory bowel disease (IBD). Building on the etiology and pathogenesis of IBD and taking into account the wide range of clinical presentations and phenotypes that reflect a long list of endoscopic features, this book systematically and exclusively presents all IBD-related endoscopy imaging for optimal understanding, diagnosis and management. - Provides systemic classification and characterization of endoscopy imaging in the surgically altered bowel and in healthy and diseased IBD patients - Incorporates state-of-the-art research in the area of endoscopy imaging in CD and UC, from current literature and the vast experience of a panel of national and international experts - Covers all possible aspects related to endoscopic imaging in Inflammatory bowel disease
| Author | : Vincent Francois-Lavet |
| Publisher | : Foundations and Trends (R) in Machine Learning |
| Total Pages | : 156 |
| Release | : 2018-12-20 |
| Genre | : |
| ISBN | : 9781680835380 |
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.
| Author | : Erik R. Ranschaert |
| Publisher | : Springer |
| Total Pages | : 369 |
| Release | : 2019-01-29 |
| Genre | : Medical |
| ISBN | : 3319948784 |
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 | : Zhaoshen Li |
| Publisher | : Springer |
| Total Pages | : 205 |
| Release | : 2014-07-30 |
| Genre | : Medical |
| ISBN | : 9401792291 |
Handbook of Capsule Endoscopy is a concise guide to the clinical diagnostic use of capsule endoscopy, a non-invasive imaging technology of the gastrointestinal tract. This book is written by an international team with over 30 authors from 8 countries, mainly China, Britain, Israel, Italy, Germany, Korea, United Arab Emirates and the United States. This book introduces nearly all aspects of capsule endoscopy, including the six devices currently in use, the set up procedures, indications and contraindications, its application in three organs, special use in pediatrics, safety issues and case presentations. This book is an ideal reference work for physicians and surgeons who wish to utilize this helpful imaging technology. Prof. Zhaoshen Li and Associate Prof. Zhuan Liao are doctors in Changhai Hospital, the Second Military Medical University, Shanghai, China. Mark McAlindon is a consultant gastroenterologist and the directorate of gastroenterology in Royal Hallamshire Hospital, England, the United Kingdom.
| Author | : Sam Atallah |
| Publisher | : Springer Nature |
| Total Pages | : 441 |
| Release | : 2020-07-31 |
| Genre | : Medical |
| ISBN | : 3030491005 |
This book provides a trove of insightful perspectives on the current state and the realization of digital surgery. Digital surgery entails the application of artificial intelligence and machine learning toward automation in robotic-assisted surgery. More generally, the objective is to digitally define the patient, the surgical field, and the surgical problem or task at hand; to operate based on information, rather than based on anatomic planes alone. But digital surgery has shapeshifted into other, equally intriguing faces – many of which are exemplified by topics throughout this book. Digital surgery is fundamental to 3D-printed organs, mind-controlled limbs, image-guided navigation, and tele-mentoring. It is the key that unlocks the metaphorical doorway to surgical access, thereby creating a global framework for surgical training, education, planning, and much more. This text provides methods of measurement and perception outside of the human umwelt – including the ability to visualize fields beyond the visible light spectrum, via near infrared fluorescent organic dyes which are rapidly being bioengineered to target specific tumors, as well as native anatomic structures of interest. Written by experts in the field, Digital Surgery is designed to help surgeons operate with an enriched understanding of an individual’s specific attributes: including the human phenome, physiome, microbiome, genome, and epigenome. It also aids surgeons in harnessing the power and fluidity of the cloud, which is emerging as a significant resource for surgeons both regionally and globally.
| Author | : Raghbir Singh Khandpur |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1794 |
| Release | : 2020-02-25 |
| Genre | : Science |
| ISBN | : 1119288126 |
An essential reference filled with 400 of today's current biomedical instruments and devices Designed mainly for the active bio-medical equipment technologists involved in hands-on functions like managing these technologies by way of their usage, operation & maintenance and those engaged in advancing measurement techniques through research and development, this book covers almost the entire range of instruments and devices used for diagnosis, imaging, analysis, and therapy in the medical field. Compiling 400 instruments in alphabetical order, it provides comprehensive information on each instrument in a lucid style. Each description in Compendium of Biomedical Instrumentation covers four aspects: purpose of the instrument; principle of operation, which covers physics, engineering, electronics, and data processing; brief specifications; and major applications. Devices listed range from the accelerometer, ballistocardiograph, microscopes, lasers, and electrocardiograph to gamma counter, hyperthermia system, microtome, positron emission tomography, uroflowmeter, and many more. Covers almost the entire range of medical instruments and devices which are generally available in hospitals, medical institutes at tertiary, secondary, and peripheral level facilities Presents broad areas of applications of medical instruments/technology, including specialized equipment for various medical specialties, fully illustrated with figures & photographs Contains exhaustive description on state of the art instruments and also includes some generation old legacy instruments which are still in use in some medical facilities. Compendium of Biomedical Instrumentation is a must-have resource for professionals and undergraduate and graduate students in biomedical engineering, as well as for clinical engineers and bio-medical equipment technicians.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
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 | : Reza Zekavat |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1376 |
| Release | : 2019-03-06 |
| Genre | : Science |
| ISBN | : 1119434580 |
A comprehensive review of position location technology — from fundamental theory to advanced practical applications Positioning systems and location technologies have become significant components of modern life, used in a multitude of areas such as law enforcement and security, road safety and navigation, personnel and object tracking, and many more. Position location systems have greatly reduced societal vulnerabilities and enhanced the quality of life for billions of people around the globe — yet limited resources are available to researchers and students in this important field. The Handbook of Position Location: Theory, Practice, and Advances fills this gap, providing a comprehensive overview of both fundamental and cutting-edge techniques and introducing practical methods of advanced localization and positioning. Now in its second edition, this handbook offers broad and in-depth coverage of essential topics including Time of Arrival (TOA) and Direction of Arrival (DOA) based positioning, Received Signal Strength (RSS) based positioning, network localization, and others. Topics such as GPS, autonomous vehicle applications, and visible light localization are examined, while major revisions to chapters such as body area network positioning and digital signal processing for GNSS receivers reflect current and emerging advances in the field. This new edition: Presents new and revised chapters on topics including localization error evaluation, Kalman filtering, positioning in inhomogeneous media, and Global Positioning (GPS) in harsh environments Offers MATLAB examples to demonstrate fundamental algorithms for positioning and provides online access to all MATLAB code Allows practicing engineers and graduate students to keep pace with contemporary research and new technologies Contains numerous application-based examples including the application of localization to drone navigation, capsule endoscopy localization, and satellite navigation and localization Reviews unique applications of position location systems, including GNSS and RFID-based localization systems The Handbook of Position Location: Theory, Practice, and Advances is valuable resource for practicing engineers and researchers seeking to keep pace with current developments in the field, graduate students in need of clear and accurate course material, and university instructors teaching the fundamentals of wireless localization.
| Author | : Mukhdeep Singh Manshahia |
| Publisher | : John Wiley & Sons |
| Total Pages | : 944 |
| Release | : 2022-02-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1119792622 |
HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
