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Selected Topics In Medical Artificial Intelligence
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Book Synopsis Artificial Intelligence in Medicine by : David Riaño
Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Book Synopsis Selected Topics in Medical Artificial Intelligence by : Perry L. Miller
Download or read book Selected Topics in Medical Artificial Intelligence written by Perry L. Miller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the di agnostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these tech nology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli cations are limited to administrative functions, e.g., office practice man agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.
Book Synopsis Selected Topics in Medical Artificial Intelligence by : Perry L. Miller
Download or read book Selected Topics in Medical Artificial Intelligence written by Perry L. Miller and published by . This book was released on 1988-01-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book contains a collection of current papers in the field of medical artificial intelligence. The contributions center on the following three topics: the use of causal models in medical expert systems; the problems of knowledge acquisition and knowledge verification in medical expert systems; and the problems of evaluating medical expert systems. These areas all pose questions of particular research interest. For each area the book includes a chapter giving an overview of the subject and then presents several papers where leading specialists discuss their experiences with particular projects in addressing these problems. The book will be of interest to those in medical artificial intelligence and in medical computing in general, as well as to expert system designers in other fields."--Publisher description (LoC).
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Selected Topics in Medical Artificial Intelligence by : Perry L. Miller
Download or read book Selected Topics in Medical Artificial Intelligence written by Perry L. Miller and published by Springer. This book was released on 1988-08-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book contains a collection of current papers in the field of medical artificial intelligence. The contributions center on the following three topics: the use of causal models in medical expert systems; the problems of knowledge acquisition and knowledge verification in medical expert systems; and the problems of evaluating medical expert systems. These areas all pose questions of particular research interest. For each area the book includes a chapter giving an overview of the subject and then presents several papers where leading specialists discuss their experiences with particular projects in addressing these problems. The book will be of interest to those in medical artificial intelligence and in medical computing in general, as well as to expert system designers in other fields."--Publisher description (LoC).
Book Synopsis National Library of Medicine Programs and Services by : National Library of Medicine (U.S.).
Download or read book National Library of Medicine Programs and Services written by National Library of Medicine (U.S.). and published by . This book was released on 1984 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Programs and Services by : National Library of Medicine (U.S.)
Download or read book Programs and Services written by National Library of Medicine (U.S.) and published by . This book was released on 1989 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Systematic Introduction to Expert Systems by : Frank Puppe
Download or read book Systematic Introduction to Expert Systems written by Frank Puppe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.
Book Synopsis Explainable AI in Healthcare and Medicine by : Arash Shaban-Nejad
Download or read book Explainable AI in Healthcare and Medicine written by Arash Shaban-Nejad and published by Springer Nature. This book was released on 2020-11-02 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
Book Synopsis Handbook of Artificial Intelligence in Healthcare by : Chee-Peng Lim
Download or read book Handbook of Artificial Intelligence in Healthcare written by Chee-Peng Lim and published by Springer Nature. This book was released on 2021-11-26 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..
Book Synopsis Medical Applications of Artificial Intelligence by : Arvin Agah
Download or read book Medical Applications of Artificial Intelligence written by Arvin Agah and published by CRC Press. This book was released on 2013-11-06 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.
Book Synopsis Artificial Intelligence in Dentistry by : Kaan Orhan
Download or read book Artificial Intelligence in Dentistry written by Kaan Orhan and published by Springer Nature. This book was released on 2024-02-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.
Book Synopsis Handbook of Artificial Intelligence in Healthcare by : Chee-Peng Lim
Download or read book Handbook of Artificial Intelligence in Healthcare written by Chee-Peng Lim and published by Springer Nature. This book was released on 2021-09-17 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
Book Synopsis Assessment and Evaluation of Information Technologies in Medicine by : Elisabeth M. S. J. Van Gennip
Download or read book Assessment and Evaluation of Information Technologies in Medicine written by Elisabeth M. S. J. Van Gennip and published by IOS Press. This book was released on 1995 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Title Page -- TABLE OF CONTENTS -- Introduction -- Part A: Methodological Aspects -- Evaluation of Automatic Health Information Systems What and How? -- Technology Assessment in Medical and Health Care Informatics: A Clarification of the Concept -- Supporting System Development with Technology Assessment -- The Conceptionof a Medical Computer System -- Verification and Validation -- Case Acquisition for Knowledge-Based Decision Support System Validation -- Approaches to Experimental Design -- Analysis of Costs of Information Systems -- Measuring Effects -- Methods for Data Acquisition -- From Assessment to Decision-Making -- Technology Assessment for Decision-Making in the Field of Informatics in Medicine and Health Care -- Part B: Examples from AIM Projects -- The Impact of Clinical Pilot Projects in R & D Programmes Supported by the EU -- Assessment and Evaluation of Knowledge-Based Expert Systems for Medical Diagnosis -- Evaluation in the TELEGASTRO-Project -- The KANDID Way to ESTEEM -- On the Evaluation of System Integration -- Protocol for the Clinical Functionality Assessment of a Workstation for Stereotactic Neurosurgery -- SAMMIE Software Applied to MultiModal Images and Education -- Technology Assessment in theEurIpacs Project -- Assessment of Workstations and PACS in AIM: The Experience of the MILORD Project -- Part C: Literature Overview -- Overview of Published Assessment and Evaluation Studies -- Literature on Assessment of Information Technology and Medical KBS Evaluation: Studies and Methodologies -- Authors List -- Authors Addresses
Book Synopsis Deep Learning for Medical Decision Support Systems by : Utku Kose
Download or read book Deep Learning for Medical Decision Support Systems written by Utku Kose and published by Springer Nature. This book was released on 2020-06-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.
Book Synopsis Neural Networks and Artificial Intelligence for Biomedical Engineering by : Donna L. Hudson
Download or read book Neural Networks and Artificial Intelligence for Biomedical Engineering written by Donna L. Hudson and published by John Wiley & Sons. This book was released on 1999-10-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: Types of neural networks and neural network algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids
Book Synopsis Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by : Kose, Utku
Download or read book Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems written by Kose, Utku and published by IGI Global. This book was released on 2018-03-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.
