Information Technology in Medical Diagnostics II
Information Technology in Medical Diagnostics II

Author: Waldemar Wójcik

Publisher: CRC Press

Published: 2019-02-13

Total Pages: 337

ISBN-13: 0429614284

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For many centuries, mankind has tried to learn about his health. Initially, during the pre-technological period, he could only rely on his senses. Then there were simple tools to help the senses. The breakthrough turned out to be the discovery of X-rays, which gave insight into the human body. Contemporary medical diagnostics are increasingly supported by information technology, which for example offers a very thorough analysis of the tissue image or the pathology differentiation. It also offers possibilities for very early preventive diagnosis. Under the influence of information technology, 'traditional' diagnostic techniques and new ones are changing. More and more often the same methods can be used for both medical and technical diagnostics. In addition, methodologies are developed that are inspired by the functioning of living organisms. Information Technology in Medical Diagnostics II is the second volume in a series showing the latest advances in information technologies directly or indirectly applied to medical diagnostics. Unlike the previous book, this volume does not contain closed chapters, but rather extended versions of presentations made during two conferences: XLVIII International Scientific and Practical Conference ‘Application of Lasers in Medicine and Biology’ (Kharkov, Ukraine) and the International Scientific Internet conference ‘Computer graphics and image processing’ (Vinnitsa, Ukriane), both held in May 2018. Information Technology in Medical Diagnostics II links technological issues to medical and biological issues, and will be valuable to academics and professionals interested in medical diagnostics and IT.

Information Technology in Medical Diagnostics III
Information Technology in Medical Diagnostics III

Author: Waldemar Wójcik

Publisher: Taylor & Francis

Published: 2021-05-10

Total Pages: 211

ISBN-13: 1000382575

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The science of biomedical measurements is experiencing a period of rapid development. Biomedical measuring systems are becoming increasingly accurate on the one hand and complex on the other. In order to make progress in this field, metrological problems must be solved using a systemic and formal approach. To this end, it is necessary to define the components of the system and the rules for their interaction, which allows the creation of a mathematical model. In this way, any technology or object can be presented in the form of a structure on which the necessary estimates can be formulated and synthesis, including metrological one, can be made. The authors have observed that despite the significance of the problem, few scientific centres deal with this issue in a generalised manner. Hence the idea of bringing together the achievements of the centres from Russia, Poland and Kazakhstan in one joint publication. The first and second volumes of Information Technology in Medical Diagnostics found readers not only in Poland, Ukraine, and Kazakhstan but also Spain, Russia and the Czech Republic. Following the readers’ suggestions, in the third volume of ITMD we returned to the formula of closed chapters known from volume one. Due to its limited volume, the book deals with the aforementioned issues in only selected areas of biomedical engineering. The book will be of interest not only for academics and engineers but also for professionals involved in biomedical engineering, seeking solutions for the problems that cannot be solved using "traditional" technologies or trying to improve existing measurement systems.

Improving Diagnosis in Health Care
Improving Diagnosis in Health Care

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2015-12-29

Total Pages: 473

ISBN-13: 0309377722

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Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making
Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

Author: Sergii Babichev

Publisher: Springer Nature

Published: 2022-09-13

Total Pages: 735

ISBN-13: 303116203X

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This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Information Technology in Medical Diagnostics
Information Technology in Medical Diagnostics

Author: Waldemar Wójcik

Publisher: CRC Press

Published: 2017-07-20

Total Pages: 208

ISBN-13: 1351578944

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For many centuries, people have tried to learn about the state of their health. Initially, in the pre-technological period, they had to rely only on their senses. Then there were simple tools to help the human senses. The discovery of X-rays, which allowed people to look “inside” the body, turned out to be a major breakthrough. Contemporary medical diagnostics is increasingly being assisted by information technology that allows, for example, thorough image tissue analysis or pathology differentiation. They also allow very early preventive diagnostics. Influenced by information technology, “classic” diagnostic techniques change and new ones arise. Information Technology in Medical Diagnostics presents selected and extended conference papers from Polish, Ukrainian and Kazakh scientists. They address problems of the application of new methods of image processing for analysis of medical images, new methods of classification of medical data as well as new medical imaging methods. Some of the presented technologies are inspired by the functioning of living organisms. Information Technology in Medical Diagnostics is of interest not only to academics and engineers, but also to professionals involved in biomedical engineering, and seeking for solutions for issues that cannot be solved with the help of “traditional” technologies.

Advances in Patient Safety
Advances in Patient Safety

Author: Kerm Henriksen

Publisher:

Published: 2005

Total Pages: 526

ISBN-13:

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v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.

Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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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

Digital Health Entrepreneurship
Digital Health Entrepreneurship

Author: Sharon Wulfovich

Publisher: Springer

Published: 2019-06-20

Total Pages: 228

ISBN-13: 3030127192

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This book presents a hands on approach to the digital health innovation and entrepreneurship roadmap for digital health entrepreneurs and medical professionals who are dissatisfied with the existing literature on or are contemplating getting involved in digital health entrepreneurship. Topics covered include regulatory affairs featuring detailed guidance on the legal environment, protecting digital health intellectual property in software, hardware and business processes, financing a digital health start up, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Digital Health Entrepreneurship is directed to clinicians and other digital health entrepreneurs and stresses an interdisciplinary approach to product development, deployment, dissemination and implementation. It therefore provides an ideal resource for medical professionals across a broad range of disciplines seeking a greater understanding of digital health innovation and entrepreneurship.

Information Technologies in Medicine, Volume II
Information Technologies in Medicine, Volume II

Author: Metin Akay

Publisher: Wiley-IEEE Press

Published: 2001-04-18

Total Pages: 224

ISBN-13:

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A comprehensive survey of technological developments in Virtual Reality for use in a variety of medical procedures Medicine and the biological sciences have long relied on visualizations to illustrate the relationship between anatomic structure and biologic function. The new multidimensional imaging modalities are powerful counterparts to traditional forms of observation-surgery, postmortem examination, or extensive mental reconstruction. VR technologies have reached unimagined levels of sophistication and utility, giving physicians and students new avenues for planning and practicing surgery and diagnostics. The two volumes of Information Technologies in Medicine thoroughly explore the use of VR technology in three-dimensional visualization techniques, realistic surgical training prior to patient contact, and actual procedures in rehabilitation and treatment, including telemedicine and telesurgery. Editors Akay and Marsh have brought together all the available information on the subject of VR technologies in medicine and medical training to create the first comprehensive guide to the state of the art in medicine for use by students, doctors, and researchers. Volume II concentrates on VR technologies specifically in the area of rehabilitation and treatment and provides complete coverage of the most recent advancements in high-tech medicine. Specific treatments include: * VR in neuro/orthopedic rehabilitation * VR in treatment of anxiety disorders * Robot-assisted microsurgery * VR and the vestibular system * Maxillofacial virtual surgery