Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Riccardo Bellazzi,Ameen Abu-Hanna,Jim Hunter
Publsiher: Springer Science & Business Media
Total Pages: 509
Release: 2007-06-29
ISBN: 3540735984
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 following a very successful workshop held in Pavia, Italy, the year before. The principal aims of AIME are to foster fundamental and applied research in the application of arti?cial intelligence (AI) techniques to medical care and medical research, and to provide a forum at biennial conferences for discussing any progress made. For this reason the main activity of the Society wastheorganizationofaseriesofbiennialconferences, heldinMarseilles, France (1987), London, UK (1989), Maastricht, The Netherlands (1991), Munich, G- many (1993), Pavia, Italy (1995), Grenoble, France (1997), Aalborg, Denmark (1999), Cascais, Portugal (2001), Protaras, Cyprus (2003), and Aberdeen, UK (2005). This volume contains the proceedings of AIME 2007, the 11th Conference on Arti?cial Intelligence in Medicine, held in Amsterdam, The Netherlands, July 7-11, 2007. The AIME 2007 goals were to present and consolidate the int- national state of the art of AI in biomedical research from the perspectives of methodology and application. The conference included invited lectures, a panel discussion, full and short papers, tutorials, workshops, and a doctoral cons- tium. In the conference announcement, authors were solicited to submit original contributions on the development of theory, systems, and applications of AI in medicine, including the exploitationof AI approachesto molecularmedicine and biomedical informatics. Authors of papers addressing theory were requested to describe the developmentorthe extensionof AI methods and to discuss the n- elty to the state of the art.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Lei Xing,Maryellen L. Giger,James K. Min
Publsiher: Academic Press
Total Pages: 568
Release: 2020-09-03
ISBN: 0128212586
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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

Medical Applications of Artificial Intelligence

Medical Applications of Artificial Intelligence
Author: Arvin Agah
Publsiher: CRC Press
Total Pages: 526
Release: 2013-11-06
ISBN: 1439884331
Category: Medical
Language: EN, FR, DE, ES & NL

Medical Applications of Artificial Intelligence 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.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Steen Andreassen,Rolf Engelbrecht,Jeremy Wyatt
Publsiher: IOS Press
Total Pages: 522
Release: 1993
ISBN: 9789051991413
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: IntroBooks Team
Publsiher: IntroBooks
Total Pages: 26
Release: 2022
ISBN: 1928374650XXX
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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
Author: Peter Szolovits
Publsiher: Routledge
Total Pages: 226
Release: 2019-03-13
ISBN: 0429728468
Category: Social Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence In Medicine Book Excerpt:

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.

Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine
Author: Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
Publsiher: CRC Press
Total Pages: 300
Release: 2022-04-06
ISBN: 1000565815
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare and Medicine Book Excerpt:

This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Artificial Intelligence for Medicine

Artificial Intelligence for Medicine
Author: Yoshiki Oshida
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 520
Release: 2021-10-11
ISBN: 3110717921
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Medicine Book Excerpt:

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 in Medicine

Artificial Intelligence in Medicine
Author: Niels Peek,Roque Luis Marín Morales,Mor Peleg
Publsiher: Springer
Total Pages: 316
Release: 2013-05-16
ISBN: 9783642383250
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book constitutes the refereed proceedings of the 14th Conference on Artificial Intelligence in Medicine, AIME 2013, held in Murcia, Spain, in May/June 2013. The 43 revised full and short papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: decision support, guidelines and protocols; semantic technology; bioinformatics; machine learning; probabilistic modeling and reasoning; image and signal processing; temporal data visualization and analysis; and natural language processing.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Elpida Keravnou,Elpida Keravnou-Papailiou,Catherine Garbay,Robert Baud,Jeremy Wyatt
Publsiher: Springer Science & Business Media
Total Pages: 550
Release: 1997-03-12
ISBN: 9783540627098
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

Content Description #Includes bibliographical references and index.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: M. Fieschi
Publsiher: Springer
Total Pages: 166
Release: 1990-01-01
ISBN: 9780412330001
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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
Author: Werner Horn,Yuval Shahar,Greger Lindberg,Steen Andreassen,Jeremy Wyatt
Publsiher: Springer
Total Pages: 462
Release: 2003-05-21
ISBN: 3540487204
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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
Author: Manda Raz,Tam C. Nguyen,Erwin Loh
Publsiher: Springer Nature
Total Pages: 258
Release: 2022-07-18
ISBN: 9811912238
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Silvana Quaglini,Pedro Barahona,Steen Andreassen
Publsiher: Springer
Total Pages: 469
Release: 2003-05-15
ISBN: 3540482296
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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
Author: Annette ten Teije,Christian Popow,John H. Holmes,Lucia Sacchi
Publsiher: Springer
Total Pages: 369
Release: 2017-05-31
ISBN: 9783319597577
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017. The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: M. Fieschi
Publsiher: Springer
Total Pages: 166
Release: 2013-11-11
ISBN: 1489934286
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

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
Author: Mor Peleg,Nada Lavrač,Carlo Combi
Publsiher: Springer
Total Pages: 355
Release: 2011-09-15
ISBN: 3642222188
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book constitutes the refereed proceedings of the 13th Conference on Artificial Intelligence in Medicine, AIME 2011, held in Bled, Slovenia, in July 2011. The 42 revised full and short papers presented together with 2 invited talks were carefully reviewed and selected from 113 submissions. The papers are organized in topical sections on knowledge-based systems; data mining; special session on AI applications; probabilistic modeling and reasoning; terminologies and ontologies; temporal reasoning and temporal data mining; therapy planning, scheduling and guideline-based care; and natural language processing.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Mor Peleg,Nada Lavrač,Carlo Combi
Publsiher: Springer Science & Business Media
Total Pages: 355
Release: 2011-06-27
ISBN: 364222217X
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Excerpt:

This book constitutes the refereed proceedings of the 13th Conference on Artificial Intelligence in Medicine, AIME 2011, held in Bled, Slovenia, in July 2011. The 42 revised full and short papers presented together with 2 invited talks were carefully reviewed and selected from 113 submissions. The papers are organized in topical sections on knowledge-based systems; data mining; special session on AI applications; probabilistic modeling and reasoning; terminologies and ontologies; temporal reasoning and temporal data mining; therapy planning, scheduling and guideline-based care; and natural language processing.

Medical Applications of Artificial Intelligence

Medical Applications of Artificial Intelligence
Author: Arvin Agah
Publsiher: CRC Press
Total Pages: 526
Release: 2013-11-06
ISBN: 143988434X
Category: Medical
Language: EN, FR, DE, ES & NL

Medical Applications of Artificial Intelligence 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.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr,Kaveh Memarzadeh
Publsiher: Academic Press
Total Pages: 378
Release: 2020-07-10
ISBN: 0128184388
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare 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