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Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Technical Basis and Clinical Applications

by Lei Xing,Maryellen L. Giger,James K Min

  • Publisher : Academic Press
  • Release : 2020-09-16
  • Pages : 568
  • ISBN : 0128212586
  • Language : En, Es, Fr & De
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Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Artificial Intelligence In Medicine

Artificial Intelligence In Medicine
A Book

by Peter Szolovits

  • Publisher : Routledge
  • Release : 2019-03-13
  • Pages : 226
  • ISBN : 0429728468
  • Language : En, Es, Fr & De
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This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of an expert physician. The programs presented are internist, a diagnostic aid that combines a large database of disease/manifestation associations with techniques for problem formulation; expert and the Glaucoma Program which use physiological models for the diagnosis and treatment of eye disease; mycin, a rule-based program for diagnosis and therapy selection for infectious diseases; and the Digitalis Therapy Advisor, which aids the physician in prescribing the right dose of the drug digitalis and also explains its actions.

Machine Learning in Medicine

Machine Learning in Medicine
A Book

by Ton J. Cleophas,Aeilko H. Zwinderman

  • Publisher : Springer Science & Business Media
  • Release : 2013-02-12
  • Pages : 265
  • ISBN : 9400758243
  • Language : En, Es, Fr & De
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Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings

by Michel Dojat,Elpida Keravnou

  • Publisher : Springer Science & Business Media
  • Release : 2003-10-09
  • Pages : 385
  • ISBN : 9783540201298
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, held in Protaras, Cyprus, in October 2003. The 24 revised full papers and 26 revised short papers presented together with two invited contributions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on temporal reasoning, ontology and terminology, image processing and simulation, guidelines and clinical protocols, terminology and natural language issues, machine learning, probabilistic networks and Bayesian models, case-based reasoning and decision support, and data mining and knowledge discovery.

AI and Medicine

AI and Medicine
Data-driven Strategies for Improving Healthcare and Saving Lives

by Michael Alan Barlow

  • Publisher : Unknown Publisher
  • Release : 2016
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Opportunities, Applications and Risks

by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra

  • Publisher : Springer
  • Release : 2019-01-29
  • Pages : 373
  • ISBN : 3319948784
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings

by David Riaño,Szymon Wilk,Annette ten Teije

  • Publisher : Springer
  • Release : 2019-06-19
  • Pages : 429
  • ISBN : 303021642X
  • Language : En, Es, Fr & De
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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.

Artificial Intelligence

Artificial Intelligence
Applications in Healthcare Delivery

by Sandeep Reddy

  • Publisher : CRC Press
  • Release : 2020-12-02
  • Pages : 336
  • ISBN : 1000216845
  • Language : En, Es, Fr & De
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The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Medical Applications of Artificial Intelligence

Medical Applications of Artificial Intelligence
A Book

by Arvin Agah

  • Publisher : CRC Press
  • Release : 2013-11-06
  • Pages : 526
  • ISBN : 1439884331
  • Language : En, Es, Fr & De
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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.

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
  • Release : 2021-07-10
  • Pages : 472
  • ISBN : 9783030772109
  • 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.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Principles and Applications

by Anthony C. Chang

  • Publisher : Academic Press
  • Release : 2020-02-03
  • Pages : 300
  • ISBN : 9780128164624
  • 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

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 : 2020-05-12
  • Pages : 352
  • ISBN : 1000767302
  • 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.

Machine Learning in Medicine

Machine Learning in Medicine
A Book

by Taylor & Francis Group

  • Publisher : CRC Press
  • Release : 2021-07
  • Pages : 320
  • ISBN : 9781138106901
  • Language : En, Es, Fr & De
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"Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several Computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade e.g., cancer detection, resulting in the development of several successful systems. This book will help to advance scientific research within the broad field of machine learning in the medical field. The book focuses on major trends and challenges in this area, and it presents work aimed at identifying new techniques and their use in biomedical analysis, including extensive references at the end of each chapter"--

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 20-24, 1999, Proceedings

by Werner Horn,Yuval Shahar,Greger Lindberg,Steen Andreassen,Jeremy Wyatt

  • Publisher : Springer Science & Business Media
  • Release : 1999-06-09
  • Pages : 462
  • ISBN : 354066162X
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999. The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
A Book

by IntroBooks Team

  • Publisher : IntroBooks
  • Release : 2021
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Artificial Intelligence (AI) opened a new horizon for human civilization. It is being used in different fields from detective agencies to medicines. And it has made things a lot easier than it was in the earlier days. Artificial Intelligence is basically using the knowledge of complex methods and algorithms in order to analyze things. Now how does it help in medicines and healthcare? Well, using artificial intelligence in medical fields is basically using the knowledge of complex methods and algorithms and estimating the human cognition by analyzing the complicated medical data. More specifically or precisely, Artificial Intelligence in the medical field is the concluding medical state by analyzing the complicated medical data with a computer algorithm.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Expert Systems

by M. Fieschi

  • Publisher : Springer
  • Release : 2013-11-11
  • Pages : 166
  • ISBN : 1489934286
  • Language : En, Es, Fr & De
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Expert systems constitute a research area which is currently expanding. This book is based largely on work undertaken for my doctoral thesis and attempts to set out in readily understood language the different methods of knowledge representation used in different systems. How ever, since the field for applications is enormous and touches on many disciplines (engineering science, computing, geology, medicine etc.) only those systems with medical applications are presented. The second part of this book is devoted to detailed discussion of one expert system developed in this department: SPHINX. I wish to thank all those who have given me their support, their criticisms and suggestions: Dominique Fieschi, Michel Joubert, Genevieve Botti, Michel Roux, Jean-Louis Lauriere, as well as the CNRS which supported the ATP Expert Systems Group with an individual grant. Marius Fieschi Foreword This work deals with 'Expert Systems' in the realm of medicine. The phrase 'Expert System' describes an information system not only in terms of its content but also in terms of its application. As with all generic terms, it is condensed to the point where the meaning cannot be guessed from simply reading it. It concerns systems processing knowledge and behaviour in ways close to those of a human expert. In the field of medicine this expert would be the consultant or specialist to whom a family practitioner refers a 'case' which he is unable to diagnose. The study of expert systems is a branch of computer science called artificial intelligence.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings

by Silvana Quaglini,Pedro Barahona,Steen Andreassen

  • Publisher : Springer
  • Release : 2003-05-15
  • Pages : 469
  • ISBN : 3540482296
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management, machine learning, data mining, decision support systems, temporal reasoning, case-based reasoning, planning and scheduling, natural language processing, computer vision, image and signal interpretation, intelligent agents, telemedicine, careflow systems, and cognitive modeling.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Proceedings of the 4th Conference on Artificial Intelligence in Medicine Europe, 3-6 October 1993, Munich

by Steen Andreassen,Rolf Engelbrecht,Jeremy Wyatt

  • Publisher : IOS Press
  • Release : 1993
  • Pages : 494
  • ISBN : 9789051991413
  • Language : En, Es, Fr & De
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The knowledge-based management of medical acts in NUCLEUS -- Knowledge Acquisition, Representation & Learning -- Knowledge Representation and Modelling in HYBRIKON -- Knowledge Organisation in Medical KBS Construetion -- A Framework for Modular Knowledge Bases in the Domain of Hypertension Diseases -- KAVAS-2: Knowledge Acquisition, Visualisation and Assessment System -- KAVAS's Framework for quality assessment of medical knowledge -- KAVAS's Conditioning of the Induction Algorithm -- Clinical decision-support in the field of TETANUS serology using an associative storage model implemented in LISP -- Model based learning support to knowledge acquisition: A clinical case study -- MODELS FOR MEDICAL KNOWLEDGE REPRESENTATION AND MEDICAL REASONING IN A C.A.I SYSTEM -- Case Based Reasoning in Clinical Evaluation -- Object-oriented mentality: the most suited paradigm for medical knowledge-based systems -- Applications Based on Neural Nets -- Classification of protein patterns using neural networks: pixel based versus feature based approach -- Evaluation of an epiderniological data set as an example of the application of neural networks to the analysis of large medical data sets -- A Neural Network Modular System for Object Classification in Brain MR Images -- A Neural Network Identifies Faces with Morphological Syndromes -- Grading of Gliomas in Stereotactic Biopsies with Neural Networks -- Self Organizing Maps for the Evaluation of High Resolution ECG -- AUTHOR INDEX

Healthcare and Artificial Intelligence

Healthcare and Artificial Intelligence
A Book

by Bernard Nordlinger,Cédric Villani,Daniela Rus

  • Publisher : Springer Nature
  • Release : 2020-03-17
  • Pages : 279
  • ISBN : 3030321614
  • Language : En, Es, Fr & De
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This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
... Conference on Artificial Intelligence in Medicine Europe, AIME ...

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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