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Intelligence-Based Medicine

Intelligence-Based Medicine
Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare

by Anthony C. Chang

  • Publisher : Academic Press
  • Release : 2020-06-27
  • Pages : 534
  • ISBN : 0128233389
  • Language : En, Es, Fr & De
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Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Generating evidence for artificial intelligence-based medical devices

Generating evidence for artificial intelligence-based medical devices
a framework for training, validation and evaluation

by Anonim

  • Publisher : World Health Organization
  • Release : 2021-11-18
  • Pages : 129
  • ISBN : 9240038469
  • Language : En, Es, Fr & De
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Multidisciplinary Computational Anatomy

Multidisciplinary Computational Anatomy
Toward Integration of Artificial Intelligence with MCA-based Medicine

by Makoto Hashizume

  • Publisher : Springer Nature
  • Release : 2022-01-01
  • Pages : 398
  • ISBN : 9811643253
  • Language : En, Es, Fr & De
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This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written by respected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.

Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics

Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics
A Book

by Babak Saboury,Eliot Siegel

  • Publisher : Elsevier Health Sciences
  • Release : 2021-09-21
  • Pages : 240
  • ISBN : 0323835619
  • Language : En, Es, Fr & De
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Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
A Book

by Mark Chang

  • Publisher : CRC Press
  • Release : 2020-05-07
  • Pages : 352
  • ISBN : 1000766721
  • Language : En, Es, Fr & De
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Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Artificial Intelligence for Medicine

Artificial Intelligence for Medicine
People, Society, Pharmaceuticals, and Medical Materials

by Yoshiki Oshida

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2021-10-11
  • Pages : 520
  • ISBN : 3110717921
  • Language : En, Es, Fr & De
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The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

Artificial Intelligence for Data-Driven Medical Diagnosis

Artificial Intelligence for Data-Driven Medical Diagnosis
A Book

by Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2021-01-28
  • Pages : 326
  • ISBN : 3110668386
  • Language : En, Es, Fr & De
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This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings

by Allan Tucker,Pedro Henriques Abreu,Jaime Cardoso,Pedro Pereira Rodrigues,David Riaño

  • Publisher : Springer Nature
  • Release : 2021-06-08
  • Pages : 505
  • ISBN : 303077211X
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021. The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis; predictive modelling; temporal data analysis; unsupervised learning; planning and decision support; deep learning; natural language processing; and knowledge representation and rule mining.

Ethical Implications of Reshaping Healthcare With Emerging Technologies

Ethical Implications of Reshaping Healthcare With Emerging Technologies
A Book

by Musiolik, Thomas Heinrich,Dingli, Alexiei

  • Publisher : IGI Global
  • Release : 2021-10-01
  • Pages : 242
  • ISBN : 1799878899
  • Language : En, Es, Fr & De
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Improving quality of life is one of the main advantages of integrating new innovations into medicine. New technologies are revolutionizing medicine and opening new opportunities for patients, doctors, clinics, and companies. The patient's well-being is monitored autonomously by smartphones, digital medical records simplify everyday clinical work, virtual reality is used for treatment, and robots help in the operating room. The new technological possibilities in healthcare not only change patients’ lives, but also the work of doctors, clinics, and companies. In the fields of healthcare and medicine, new technologies can be used for patient communication, health monitoring, or for the treatment of patients, and modern research is devoted to advancing and understanding these technologies. Ethical Implications of Reshaping Healthcare With Emerging Technologies includes the most up-to-date research in the fields of healthcare and medicine worldwide, provides answers to the forms of treatment that are already possible in medicine, and illuminates the future possibilities that are already being researched. In addition, today's knowledge is translated and shown in how new technologies such as autonomous VR-system can be used for pain reduction as part of a treatment. Finally, this book examines the ethical guidelines in healthcare and medicine that are associated with the rapid development of these technologies. This book will be useful for the healthcare industry, hospital administration, the health insurance industry, doctors, healthcare workers, business professionals, IT specialists, medical software designers, scientists, practitioners, researchers, academicians, and students looking for the latest information on the use of emerging technologies in healthcare settings.

Informatics Needs and Challenges in Cancer Research

Informatics Needs and Challenges in Cancer Research
Workshop Summary

by Institute of Medicine,Board on Health Care Services,National Cancer Policy Forum

  • Publisher : National Academies Press
  • Release : 2012-11-02
  • Pages : 146
  • ISBN : 0309259487
  • Language : En, Es, Fr & De
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As information technology becomes an integral part of health care, it is important to collect and analyze data in a way that makes the information understandable and useful. Informatics tools--which help collect, organize, and analyze data--are essential to biomedical and health research and development. The field of cancer research is facing an overwhelming deluge of data, heightening the national urgency to find solutions to support and sustain the cancer informatics ecosystem. There is a particular need to integrate research and clinical data to facilitate personalized medicine approaches to cancer prevention and treatment--for example, tailoring treatment based on an individual patient's genetic makeup as well as that of the tumor --and to allow for more rapid learning from patient experiences. To further examine informatics needs and challenges for 21st century biomedical research, the IOM's National Cancer Policy Forum held a workshop February 27-28, 2012. The workshop was designed to raise awareness of the critical and urgent importance of the challenges, gaps and opportunities in informatics; to frame the issues surrounding the development of an integrated system of cancer informatics for acceleration of research; and to discuss solutions for transformation of the cancer informatics enterprise. Informatics Needs and Challenges in Cancer Research: Workshop Summary summarizes the workshop.

Artificial Intelligence in Ophthalmology

Artificial Intelligence in Ophthalmology
A Book

by Andrzej Grzybowski

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 3030786013
  • Language : En, Es, Fr & De
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Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis
A Book

by Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas

  • Publisher : Academic Press
  • Release : 2018-01-18
  • Pages : 292
  • ISBN : 0128131748
  • Language : En, Es, Fr & De
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Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Ending Medicine’s Chronic Dysfunction

Ending Medicine’s Chronic Dysfunction
Tools and Standards for Medical Decision Making

by Lawrence L. Weed,Lincoln Weed

  • Publisher : Morgan & Claypool Publishers
  • Release : 2021-03-25
  • Pages : 177
  • ISBN : 1636390544
  • Language : En, Es, Fr & De
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This book describes an overlooked solution to a long-standing problem in health care. The problem is an informational supply chain that is unnecessarily dependent on the minds of doctors for assembling patient data and medical knowledge in clinical decision making. That supply chain function is more than the human mind can deliver. Yet, dependence on the mind is built into the traditional role of doctors, who are educated and licensed to rely heavily on personal knowledge and judgment. The culture of medicine has long been in denial of this problem, even now that health information technology is increasingly used, and even as artificial intelligence (AI) tools are emerging. AI will play an important role, but it is not a solution. The solution instead begins with traditional software techniques designed to integrate novel functionality for clinical decision support and electronic health record (EHR) tools. That functionality implements high standards of care for managing health information. This book describes that functionality in some detail. This description is intended in part to be a starting point for developers in the open source software community, who have an opportunity to begin developing an integrated, cloud-based version of the tools described, working with interested clinicians, patients, and others. The tools grew out of work beginning more than six decades ago, when this book’s lead author (deceased) originated problem lists and structured notes in medical records. The electronic tools he later developed led him to reconceive education and licensure for doctors and other health professionals, which are also part of the solution this book describes.

Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions

Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions
A Book

by Patricia Ordóñez de Pablos,Kwok Tai Chui,Miltiadis D. Lytras

  • Publisher : Academic Press
  • Release : 2022-03-25
  • Pages : 456
  • ISBN : 0128232102
  • Language : En, Es, Fr & De
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Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions provides comprehensive knowledge and insights on the application of information technologies in the healthcare sector, sharing experiences from leading researchers and academics from around the world. The book presents innovative ideas, solutions and examples to deal with one of the major challenges of the world, a global problem with health, economic and political dimensions. Advanced information technologies can play a key role in solving problems generated by the COVID-19 outbreak. The book addresses how science, technology and innovation can provide advances and solutions to new global health challenges. This is a valuable resource for researchers, clinicians, healthcare workers, policymakers and members of the biomedical field who are interested in learning how digital technologies can help us avoid and solve global disease dissemination. Presents real-world cases with experiences of applications of healthcare solutions during the pandemic of COVID-19 Discusses new approaches, theories and tools developed during an unprecedented health situation and how they can be used afterwards Encompasses information on preparedness for future outbreaks to make less costly and more effective healthcare responses to crises

Artificial Intelligence and International Economic Law

Artificial Intelligence and International Economic Law
A Book

by Shin-yi Peng,Ching-Fu Lin,Thomas Streinz

  • Publisher : Cambridge University Press
  • Release : 2021-09-30
  • Pages : 320
  • ISBN : 1108844936
  • Language : En, Es, Fr & De
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Examines the interplay between artificial intelligence and international economic law, and its effects on global economic order. This title is also available as Open Access.

Intelligence-Based Cardiology

Intelligence-Based Cardiology
Artificial Intelligence and Human Cognition in Clinical Cardiology and Cardiac Surgery

by Anonim

  • Publisher : Academic Press
  • Release : 2022-10-15
  • Pages : 260
  • ISBN : 9780323905343
  • Language : En, Es, Fr & De
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Intelligence-Based Cardiology: Artificial Intelligence and Human Cognition in Clinical Cardiology and Cardiac Surgery provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data to machine and deep learning as well as cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension, and pediatric heart care. The artificial intelligence tools will be described from the intensive care unit setting to other venues such as outpatient clinic and operating room. Future applications of related areas such as extended reality and digital twins are also discussed. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The book narrows the knowledge and expertise chasm between the data scientists and the cardiologists and cardiac surgeons,inspiring clinicians to embrace artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in cardiology and cardiac surgery Delineates the necessary elements for successful implementation of artificial intelligence in cardiovascular medicine

Computational Intelligence Based on Lattice Theory

Computational Intelligence Based on Lattice Theory
A Book

by Vassilis G. Kaburlasos,Gerhard X. Ritter

  • Publisher : Springer
  • Release : 2007-06-26
  • Pages : 375
  • ISBN : 354072687X
  • Language : En, Es, Fr & De
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This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles presented here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.

Artificial Intelligence in Perspective

Artificial Intelligence in Perspective
A Book

by Daniel Gureasko Bobrow

  • Publisher : MIT Press
  • Release : 1994
  • Pages : 462
  • ISBN : 9780262521864
  • Language : En, Es, Fr & De
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This major collection of short essays reviews the scope and progress of research in artificial intelligence over the past two decades. Seminal and most-cited papers from the journal Artificial Intelligence are revisited by the authors who describe how their research has been developed, both by themselves and by others, since the journals first publication.The twenty-eight papers span a wide variety of domains, including truth maintainance systems and qualitative process theory, chemical structure analysis, diagnosis of faulty circuits, and understanding visual scenes; they also span a broad range of methodologies, from AI's mathematical foundations to systems architecture.The volume is dedicated to Allen Newell and concludes with a section of fourteen essays devoted to a retrospective on the strength and vision of his work.Sections/Contributors: - Artificial Intelligence in Perspective, D. G. Bobrow.- Foundations. J. McCarthy, R. C. Moore, A. Newell, N. J. Nilsson, J. Gordon and E. H. Shortliffe, J. Pearl, A. K. Mackworth and E. C. Freuder, J. de Kleer.- Vision. H. G. Barrow and J. M. Tenenbaum, B. K. P. Horn and B. Schunck, K. Ikeuchi, T. Kanade.- Qualitative Reasoning. J. de Kleer, K. D. Forbus, B. J. Kuipers, Y. Iwasake and H. A Simon.- Diagnosis. R. Davis, M. R. Genesereth, P. Szolovits and S. G. Pauker, R. Davis, B. G. Buchanan and E. H. Shortliffe, W. J. Clancey.- Architectures. J. S. Aikins, B. Hayes-Roth, M. J. Stefik et al.- Systems. R. E. Fikes and N. J. Nilsson, E. A Feigenbaum and B. G. Buchanan, J. McDermott. Allen Newell. H. A. Simon, M. J. Stefik and S. W. Smoliar, M. A. Arbib, D. C. Dennett, Purves, R. C. Schank and M. Y. Jona, P. S. Rosenbloom and J. E. Laird, P. E. Agre.

Artificial Intelligence

Artificial Intelligence
A National Strategic Initiative

by Tencent Research Institute,CAICT,Tencent AI Lab,Tencent open platform

  • Publisher : Springer Nature
  • Release : 2020-10-01
  • Pages : 322
  • ISBN : 9811565481
  • Language : En, Es, Fr & De
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This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries. The book also provides an in-depth analysis of the opportunities and challenges that artificial intelligence brings to individuals, businesses, and society. For readers who want to fully understand artificial intelligence, this book provides an important reference and is a must-read.

Heart Failure in the Child and Young Adult

Heart Failure in the Child and Young Adult
From Bench to Bedside

by John L Jefferies,Anthony C Chang,Joseph W Rossano,Robert E Shaddy,Jeffrey A Towbin

  • Publisher : Academic Press
  • Release : 2017-12-05
  • Pages : 824
  • ISBN : 0128026138
  • Language : En, Es, Fr & De
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Heart Failure in the Child and Young Adult: From Bench to Bedside combines multiple etiologies for pediatric heart failure, including congenital heart disease, cardiomyopathies, infectious diseases and metabolic abnormalities. This comprehensive resource combines research from multiple contributors with current guidelines to bridge the knowledge gap for the recognition and management of heart failure in children. Coverage begins with the basic science of heart failure, then progresses through diagnosis, management, treatment and surgery, finally concluding with advanced special topics, including genetics, self-management and nanomedicine. Provides coverage of the basic science of heart failure, its epidemiology and economic aspects, outpatient and inpatient management, and advanced therapies, including mechanical circulatory support and heart transplantation Combines cutting-edge research with current guidelines from the field