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Books > Medicine > General issues > Medical equipment & techniques > General
The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 with two main goals: 1) to foster fundamental and applied research in the application of Arti?cial Intelligence (AI) techniques to medical care and medical research, and 2) to provide a forum for reporting signi?cant results achieved at biennial conferences. Additionally, AIME assists medical - dustrials to identify new AI techniques with high potential for integration into new products. A major activity of this society has been a series of international conferences, fromMarseille(FR)in1987toCascais(PT)in2001, heldbiennially over the last 16 years. The AIME conference provides a unique opportunity to present and improve the international state of the art of AI in medicine from both a research and an applicationsperspective.Forthispurpose, theAIMEconferenceincludesinvited lectures, contributed papers, system demonstrations, tutorials and workshops. The present volume contains the proceedings of the AIME 2003 conference, the ninthconferenceonArti?cialIntelligenceinMedicineinEurope, heldinCyprus, October 18-22, 2003. In the AIME 2003 conference announcement, we encouraged authors to s- mit original contributions to the development of theory, techniques, and - plications of AI in medicine, including the evaluation of health care programs. Theoretical papers should include a prospective part about possible applications to medical problems solving. Technical papers should describe the novelty of the proposed approach, its assumptions and pros and cons compared to other alt- native techniques. Application papers should present su?cient information to allow the evaluation of the practical bene?ts of the proposed system or meth- ol
Organ regeneration, once unknown in adult mammals, is at the threshold of maturity as a clinical method for restoration of organ function in humans. Several laboratories around the world are engaged in the development of new tools such as stem cells and biologically active scaffolds. Others are taking fresh looks at well-known clinical problems of replacement of a large variety of organs: Bone, skin, the spinal cord, peripheral nerves, articular cartilage, the conjunctiva, heart valves and urologic organs. Still other investigators are working out the mechanistic pathways of regeneration and the theoretical implications of growing back organs in an adult. The time has come to present a collection of these efforts from leading practitioners in the field of organ regeneration.
View the Table of Contents. "Covers its subject well, provides useful context, and makes lively reading for anyone interested in the history of technology, the social context of electricity and radioactive materials, or the history of alernative medicine."--"Technology and Culture" "Not only provides a richly detailed and suprising account of
long-forgotten artifacts, but also fleshes out the longer history
of some still-familiar attitudes toward health and vitality." "De la Pena's fascinating study melds social history with
material culture and the history of science and technology to
explain Americans' enthusiastic embrace of modern mechanization and
emergent industrial culture." "In this engaging and well-written study Carolyn Thomas de la
Pena offers a detailed cultural history of the
medical-technological interface in the period 1850-1940, and in so
doing tells us a great deal about how the body and its relation to
modernity were conceived." "Exellent. Carolyn de la Pena's superbly researched project
examines how Americans in the period between 1870 and 1935 sought
to supplement their physical energy through engagement with a
variety of popular health technologies, including muscle-building
machines: electrical invigorators, such as belts and collars: and
radioactive elixirs." "It's an irresistible account of fads and fascinating foibles,
including electric belts and radioactive tonics." "Transforming archival research into sparkling prose, "The Body
Electric" explains how Americans learned to usemachines to seek
health, sexual rejuvenation, and physical transformation. This
innovative book is both an entertaining history of fads and foibles
and a groundbreaking cultural critique of the continuing obsession
with achieving physical perfection." ""The Body Electric" is the so-far missing puzzle piece in our
nineteenth-twentieth century knowledge of the social history of the
human body and technology a richly illustrated study showing two
centuries of technologizing the human body against fears of
weakness, enervation, sexual depletion." Between the years 1850 and 1950, Americans became the leading energy consumers on the planet, expending tremendous physical resources on energy exploration, mental resources on energy exploitation, and monetary resources on energy acquisition. A unique combination of pseudoscientific theories of health and the public's rudimentary understanding of energy created an age in which sources of industrial power seemed capable of curing the physical limitations and ill health that plagued Victorian bodies. Licensed and "quack" physicians alike promoted machines, electricity, and radium as invigorating cures, veritable "fountains of youth" that would infuse the body with energy and push out disease and death. The Body Electric is the first book to place changing ideas about fitness and gender in dialogue with the popular culture of technology. Whether through wearing electric belts, drinking radium water, or lifting mechanized weights, many Americans came to believethat by embracing the nation's rapid march to industrialization, electrification, and "radiomania," their bodies would emerge fully powered. Only by uncovering this belief's passions and products, Thomas de la PeAa argues, can we fully understand our culture's twentieth-century energy enthusiasm.
This book constitutes the refereed proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, IS4TM 2003, held in Juan-Les-Pins, France in June 2003. The 33 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on soft tissue models, haptic rendering, cardiac modeling, and patient specific simulators.
The EU Physical Agents Directive on Noise, which will be
implemented into UK law in February 2006, will reduce noise action
levels drastically. Under the new regulations, many more
industries, which have so far not been associated with high noise
levels such as restaurants and call centres, will have to assess
the noise levels in their businesses and monitor their employees'
hearing according to HSE guidelines.
Master the skills you'll need to perform accurate clinical laboratory calculations! Mathematics for the Clinical Laboratory, 4th Edition demonstrates the calculations used in the analysis of test specimens. It begins by explaining basic mathematical principles and then covers the types of calculations needed in specific areas of the clinical lab including urinalysis, hematology, and microbiology. Finally, it focuses on the statistical calculations used in quality assurance and quality control. Step-by-step examples reinforce your understanding, and calculation templates and practice problems ensure that you make correct calculations every time. Step-by-step examples explain basic mathematical principles and show you exactly how to perform each type of calculation. Sample problems with answers can also be used as templates for solving laboratory calculations. Practice problems at the end of each chapter provide a self-assessment tool, helping you determine what you need to review. Summaries of important formulas are included at the end of the text's major sections. Coverage of statistical calculations includes standard deviation, as well as calculations associated with quality assurance and quality control. Quick tips and notes make it easier to understand and remember pertinent information. Learning objectives at the beginning of each chapter provide measurable outcomes to achieve by completing the chapter material. Full-color design includes 100 illustrations. Useful appendix of Greek symbols provides a quick reference to turn to when studying. Glossary at the back of the textbook includes definitions of important mathematical terms. New! Updated content and calculations reflect the latest procedures used in today's laboratories.
Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book's material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.
This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.
In this revised and expanded second edition, seasoned experts describe in step-by-step detail their best state-of-the-art techniques for studying neuronal cell death. These readily reproducible methods solve a wide variety of research problems, including the detection of the key proteins involved in neuronal apoptosis (Bax protein, cytochrome c, and caspases), the direct assessment of the role of pro-apoptotic proteins in neurons by viral infections and microinjections, and the detection of pro-apoptotic proteins in situ. There are also hands-on methods for the study of apoptosis mechanisms in neuronal compartments, for studying synaptosis, and for establishing gene expression profiles in neurodegenerative brain tissues by using DNA microarrays.
As computerisation in the medical environment has increased, so the advantages of storage and the computer analysis of data from various monitoring and measuring equipment has become well recognised. Most medical monitoring and measurement equipment now supports an RS-232 serial interface, allowing for direct computer access both in terms of data analysis and equipment control. This book describes the techniques used for interfacing a PC to a range of medical equipment used internationally in the areas of anaesthesia, intensive care, surgery, respiratory medicine and physiology. Part One addresses the serial interface, including the RS-232 standard, transmission of data and an introduction to serial-interface programming using Microsoft QuickBASIC. Part Two looks at electrical safety, the use of Kermit and data analysis. Part Three considers the practical aspects of interfacing a PC to a wide range of equipment, and includes example programs for collecting data and in some cases for controlling the equipment directly. This essential practical information constitutes a valuable resource for a very broad audience of PC and measurement equipment users in the medical field.
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.
The European Societies for Arti cial Intelligence in Medicine (AIME) and M- ical Decision Making (ESMDM) were both established in 1986.A major activity of both these societies has been a series of international conferences, held bi- nially over the last 13 years. In the year 1999 the two societies organized a joint conference for the r st time. It took place from June 20{24th, 1999 in Aalborg, Denmark. This \Joint European Conference on Arti cial Intelligence in Medicine and Medical Decision Making (AIMDM'99)" was the seventh conference for each of thetwosocieties.ThisconferencefollowstheAIMEconferencesheldinMarseilles (1987), London (1989), Maastricht (1991), Munich (1993), Pavia (1995), and Grenoble(1997).PreviousESMDMconferenceshavebeenheldinLeiden(1986), Copenhagen (1988), Glasgow (1990), Marburg (1992), Lille (1994), and Torino (1996). The AIMDM conference is the major forum for the presentation and d- cussion of new ideas in the areas of Arti cial Intelligence and Medical Decision Making in Medicine. This ful lls the aims of both societies. The aims of AIME are to foster fundamental and applied researchin the applicationof Arti cial - telligence (AI) techniques to medicalcareandmedicalresearch, andto providea forum for reporting signi cant results achieved. ESMDM's aims are to promote research and training in medical decision-making, and to provide a forum for circulating ideas and programs of related interest. In the AIMDM'99 conference announcement, authors were encouraged to submit original contributions to the development of theory, techniques, and - plications of both AI in medicine (AIM) and medical decision making (MDM).
Human response to short-term electrical exposure can be beneficial, as in the application of electrical stimulation for medical purposes, or pathological, as in unintended electric shock. This book is the first to offer a cohesive treatment of the subject, covering fundamental principles, specific human responses, and electrical safety. The book begins with a description of fundamental bioelectric principles. Subsequent chapters treat human reactions to electrical stimulation according to the nature of the response - sensory reactions, cardiac reactions, muscle reactions, electric and magnetic field exposure, and high-voltage and high-current injuries. The last chapter discusses standards and protective measures in consumer products. The author is a member of the principal professional staff at the Johns Hopkins University Applied Physics Laboratory. To supplement his own chapters, he has invited specialists to contribute chapters in their fields of expertise: Hermann Antoni, University of Freiburg, on electrical properties of the heart; James Sweeney, University of Arizona, on skeletal muscle responses; Michael Chilbert, Medical College of Wisconsin, on high-voltage and high-current injuries; and Walter Skuggevig, Underwriters Laboratories, on standards and protective measures. Sifting through a vast body of engineering and biomedical literature, Reilly has provided a unique reference that will interest researchers, designers, and regulatory personnel.
The majority of patients in need of organ transplants do not survive long enough for a suitable human organ to become available. Xenotransplantation, the transplant of animal organs into humans, has attracted substantial media attention. If, as appears likely, it proves possible to "humanize" animal organs and evade the problems of rejection, in the coming few years there will be a tremendous increase in this procedure, mostly using organs from animals specifically for their harvestable organs. This book will lay out the potential and promise of the technique, the history of organ transplantation, the technical problems and breakthroughs in overcoming immune rejection, and typing and humanizing donor organs for transplantation. The ethical question of growing animals specifically for organ harvest, and the substantial public health concern from the certainty that animal viruses will pass into humans with the donated organs, will be fully discussed. The authors are among the leaders in the field of Xenotransplantation.
A master practitioner teaches, with 200 sample electrocardiograms, a simple but powerfully enlightening scientific approach to the art of EKG interpretation. Moving beyond the traditional practice of many books that stress technical skill and pattern recognition, Dr. Blake demonstrates in detail how tracings may be interpreted with consistency and confidence. By examining each tracing much like a patient in a physical examination, the author provides a full description of its findings and a detailed clinical explanation of how to interpret it. Drawing on a lifetime of teaching and practicing EKG interpretation, Dr. Blake demonstrates in An Annotated Atlas of Electrocardiography: A Guide to Confident Interpretation an orderly, confidence-inspiring method for arriving at a clinically useful interpretation.
Preface This book describes problems and results of research in the gap between two fields: Human genetics, and clinical neurophysiology. Whenever I talked about my research on the genetics of the EEG, the answer of human geneticists was: "Very interesting, but I do not understand anything about the EEG. " On the other hand, EEG specialists usually remark: "Very interesting, but I do not understand anything about human genetics. " This is why I wrote this book. It tries to summarize results my own and from some others - and to point to problems. In the from researc- light of the recent progress especially in human molecular genetics, this field of research promises deep insights into biological mechanisms of brain function, as well as genetic variation involved in mental performance, and personality of humans. However, the logistic problems of such studies are not easy to overcome: It is necessary to study carefully ascertained population samples either of "normal" persons, or of persons selected for phenotypic characteristics that are not easy to diagnose. Moreover, EEG diagnosis and classification must be very specific, and is not trivial at all. All these problems require careful preparations at various levels, long-lasting efforts, and patience. Of this I am sure, however: The results would justify the efforts. I am too old to plan such a program myself; moreover, as an emeritus professor, I do not have the means for such studies.
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.
This book constitutes the refereed proceedings of the 6th
Conference on Artificial Intelligence in Medicine Europe, AIME'97,
held in Grenoble, France, in March 1997.
The purpose of this book is to summarize key strategies and recent accomplishments in the area of developing cell/biomaterial constructs for regenerative medicine. The first section is a review of the state-of-the-art of biomaterial carriers and is divided into synthetic and natural materials. A subset of the latter are decellularized organs which retain the structure and some of the biological activities of the target organ. The bulk of the book is devoted to unique problems associated with key tissue and organ targets. Key selling features: Describes developing cell/biomaterial constructs for regenerative medicine Reviews state-of-the-art of biomaterial carriers Summarizes the unique problems associated with key tissue and organ targets Discusses issues associated with clinical translation including quality control, manufacturing practices, nondestructive imaging, and animal models
Organized to serve as a resource for those just beginning to learn EEG as well as those who are already experienced, it contains concise presentations of the fundamentals of EEG technology and interpretation as well as an up-to-date review of the latest digital EEG technology and EEG clinical correlations. Unlike other EEG textbooks, the second half of this book is uniquely organized according to EEG findings rather than individual disorders. This is the best practical approach to learning interpretation because it mirrors the actual practice of EEG, the EEGer is confronted by EEG patterns, not diagnoses. All other textbooks organize findings according to clinical disorder. The book contains sufficient information to serve as a laboratory manual. The appendices contain the American Clinical Neurophysiology Society guidelines for EEG and the International Federation of Clinical Neurophysiology glossary. Each chapter begins with a summary of major concepts. An overview of EEG can be quickly obtained by those beginning the study of EEG by simply reading the introductory summaries of all chapters before reading the contents of the chapters.
This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.
This book constitutes the refereed proceedings of the 4th
International Conference on Visualization in Biomedical Computing,
VBC '96, held in Hamburg, Germany, in September 1996.
Think - Plan - Buy This is the first complete guide for creating a sustainable healthcare simulation program/center. It is created by experts in the field that are on the front lines of this emerging field. It is intended and written with all professions in mind, and should be a resource for all, be they healthcare educators, administrators, or executives. It covers specific elements of the entire process, from concept to execution, and identifies key decision points along the way. The book is organized around fundamental considerations in center and program development including governance, structural/facility and curricular design, business planning, to establishing policies and procedures. Chapters analyze the fundamental aspects of planning, such as budgeting, revenue streams, and philanthropy as well as the inclusion of educational resources within such programs. Comprehensive Healthcare Simulation: Program and Center Development is an invaluable addition to the Comprehensive Healthcare Simulation series, and features an authoritative authorship of experts in the field.
This textbook provides practical advice for junior surgical trainees on basic procedures in all surgical specialties. There are concise descriptions of minor and intermediate procedures that the trainee may be expected to perform and they are illustrated by clear line diagrams.
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