Information Technologies in Biomedicine
Title | Information Technologies in Biomedicine PDF eBook |
Author | Ewa Pi Tka |
Publisher | |
Pages | 434 |
Release | 2014-06-30 |
Genre | |
ISBN | 9783319065946 |
Information Technologies in Biomedicine, Volume 3
Title | Information Technologies in Biomedicine, Volume 3 PDF eBook |
Author | Ewa Piętka |
Publisher | Springer Science & Business |
Pages | 427 |
Release | 2014-04-19 |
Genre | Technology & Engineering |
ISBN | 3319065939 |
New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications have become standard tools underpinning the current rapid progress with developing Computational Intelligence. A computerized support in the analysis of patient information and implementation of a computer aided diagnosis and treatment systems, increases the objectivity of the analysis and speeds up the response to pathological changes. This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Image analysis and its application is the traditional part that deals with the problem of data processing, recognition and classification. Bioinformatics has become a dynamically developed field of computer assisted biological data analysis. This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist the radiologists and biologists in patient data analysis.
Information Technologies in Biomedicine
Title | Information Technologies in Biomedicine PDF eBook |
Author | Ewa Piętka |
Publisher | Springer |
Pages | 422 |
Release | 2014-05-15 |
Genre | Computers |
ISBN | 9783319065953 |
New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications together with medical equipment and instruments have become standard tools underpinning the current rapid progress with developing Computational Intelligence. We are witnessing a radical change as technologies have been integrated into systems that address the core of medicine, including patient care in ambulatory and in-patient setting, disease prevention, health promotion, rehabilitation and home care. Computer aided diagnosis and treatment systems increase the objectivity of the analysis and speed up the response to pathological changes. This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Patient's safety and shortening of the rehabilitation time requires a more rapid development of minimally invasive surgery supported by image navigation techniques. Home care, remote rehabilitation assistance, safety of the elderly requires new areas to be explored in telemedicine and telegeriatrics. This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist clinicians in patient diagnosis and treatment.
Information Technologies in Biomedicine
Title | Information Technologies in Biomedicine PDF eBook |
Author | |
Publisher | |
Pages | 420 |
Release | 2014 |
Genre | |
ISBN | 9783642131066 |
Information Technologies in Biomedicine, Volume 4
Title | Information Technologies in Biomedicine, Volume 4 PDF eBook |
Author | Ewa Piętka |
Publisher | Springer Science & Business |
Pages | 419 |
Release | 2014-04-29 |
Genre | Technology & Engineering |
ISBN | 3319065963 |
New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications together with medical equipment and instruments have become standard tools underpinning the current rapid progress with developing Computational Intelligence. We are witnessing a radical change as technologies have been integrated into systems that address the core of medicine, including patient care in ambulatory and in-patient setting, disease prevention, health promotion, rehabilitation and home care. Computer aided diagnosis and treatment systems increase the objectivity of the analysis and speed up the response to pathological changes. This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Patient's safety and shortening of the rehabilitation time requires a more rapid development of minimally invasive surgery supported by image navigation techniques. Home care, remote rehabilitation assistance, safety of the elderly requires new areas to be explored in telemedicine and telegeriatrics. This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist clinicians in patient diagnosis and treatment.
Information Technologies in Medicine
Title | Information Technologies in Medicine PDF eBook |
Author | Ewa Piętka |
Publisher | Springer |
Pages | 400 |
Release | 2016-05-27 |
Genre | Technology & Engineering |
ISBN | 3319399047 |
ITiB’2016 is the 5th Conference on Information Technologies in Biomedicine organized by the Department of Informatics & Medical Equipment of Silesian University of Technology every other year. The Conference is under the auspices of the Committee on Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. The meeting has become a recognized event that helps to bridge the gap between methodological achievements in engineering and clinical requirements in medical diagnosis, therapy, and rehabilitation. Mathematical information analysis, computer applications together with medical equipment and instruments have become standard tools underpinning the current rapid progress with developing Computational Intelligence. Members of academic societies of technical and medical background present their research results and clinical implementations. This proceedings (divided in 2 volumes) include the following sections: ؠ Image Processing ؠ Signal Processing ؠ Medical Information System & Database ؠ Ambient Assisted Living ؠ Bioinformatics ؠ Modeling & Simulation ؠ Biomechatronics ؠ Biomaterials
Information Technology in Biomedicine
Title | Information Technology in Biomedicine PDF eBook |
Author | Ewa Pietka |
Publisher | Springer Nature |
Pages | 370 |
Release | 2020-09-02 |
Genre | Technology & Engineering |
ISBN | 303049666X |
The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for a fast and reliable technology capable of processing data and delivering results in a user-friendly manner, whenever and wherever the information is needed. Multimodal acquisition systems, AI-powered applications, and biocybernetic support for medical procedures, physiotherapy and prevention have opened up exciting new avenues in terms of optimizing the healthcare system for the benefit of patients. This book presents a comprehensive study on the latest advances in medical data science and gathers carefully selected articles written by respected experts on information technology. Pursuing an interdisciplinary approach and addressing both theoretical and applied aspects, it chiefly focuses on: Artificial Intelligence Image Analysis Sound and Motion in Physiotherapy and Physioprevention Modeling and Simulation Medical Data Analysis Given its scope, the book offers a valuable reference tool for all scientists who deal with problems of designing and implementing information processing tools employed in systems that assist in patient diagnosis and treatment, as well as students who want to learn more about the latest innovations in quantitative medical data analysis, data mining, and artificial intelligence.