Computer applications in industry and technology

This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

Computer technology has impacted the practice of medicine in dramatic ways.

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.

This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018.

This book is intended for professionals who must deal with telemedicine having little or no knowledge of matrix algebra and matrix calculus, and little or no knowledge of higher mathematics with special reference to differential equations: no other books cover these topics starting from scratch.

This series is directed to healthcare professionals who are leading the tra- formation of healthcare by using information and knowledge.

This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence.

This book has been a long time in the making.

There is little doubt that information technology is a major force in transforming healthcare systems: physicians need to have considerable patient data at hand, even if diagnosis and treatment are relatively straightforward.

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.

Edited by five leaders in the field of health informatics, Consumer Health Informatics explores all aspects of this evolving science.

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) - from cost and complexity to availability and accuracy.

The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20).

This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management.

This two volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.

Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion and a new section on modeling in genetics.

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.

This book presents a variety of perspectives on vision-based applications.

It is a tragic paradox of American health care: a system renowned for world-class doctors, the latest medical technologies, and miraculous treatments has shocking inadequacies when it comes to the health of the urban poor.

Artificial Intelligence (AI) has transformed many aspects of our daily activities.

This user-friendly, comprehensive guide places evaluation in the context of HIV to give all health care professionals the necessary tools for developing and implementing successful HIV interventions.

A growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery.

Modern critical care is characterized by the collection of large volumes of data and the making of urgent patient care decisions.

This book discusses how digital technology and demographic changes are transforming the patient experience, services, provision, and planning of health and social care.

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'Work hard, have fun, make history' proclaims the slogan on the walls of Amazon's warehouses.

This book is the result of several years of enthusiastic planning and effort.

This book discusses the current trends in nursing and healthcare in relation to the integration of information technological interventions across the care continuum.

This book constitutes selected papers from the 16th European, Mediterranean, and Middle Eastern Conference, EMCIS 2019, held in Dubai, UAE, in October 2019.

Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management.

The book Multimedia for Accessible Human Computer Interfaces is to be the first resource to provide in-depth coverage on topical areas of multimedia computing (images, video, audio, speech, haptics, VR/AR, etc.

This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Montreal, Canada on August 25-28, 2024.

Both engineers and physicians present possible tools of integration in order to build an ISCAMI.

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.

This textbook presents deep learning models and their healthcare applications.

As the Internet's presence in health care grows more pervasive, an increasing number of health care providers have begun to implement eHealth innovations in their practice.

Engineers and scientists can use spreadsheets to help them quickly solve technical problems.

This timely new edition addresses gaps in the understanding of how health information technology (IT) impacts clinical workflows and how this impact is central to the safe and effective delivery of care to patients.

This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

In health care systems that provide universal access to care, efforts to contain costs for standby hospital capacity usually result in wait lists for surgical procedures.

PACS: A Guide to the Digital Revolution is a textbook of modern information sciences that fills an incredible need in a blossoming field of radiology.

This book represents a collection of recent advances in computational studies in neuroscience research that practically applies to a collaborative and integrative environment in engineering and medical domains.

The Complete Design of a Large Family of Fonts Now, 35 years after the first edition, the leading worldwide experts on these systems have spent several months inspecting every page thoroughly.

This new edition provides a model and road map to answer clinical questions related to intervention effectiveness research, quality improvement, and program evaluation.

Computer technology has impacted the practice of medicine in dramatic ways.

As health care costs soar there is increasing interest in examining what society and, particularly, patients receive in return for these expenditures.

This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare.

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.