Abstract
The present book includes extended and revised versions of a set of selected papers from the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), held in Funchal, Madeira, Portugal, during January 19–21, 2018. BIOSTEC is composed of five co-located conferences, each specialized in a different knowledge area, namely, BIODE-VICES, BIOIMAGING, BIOINFORMATICS, BIOSIGNALS, and HEALTH-INF.
BIOSTEC 2018 received 344 paper submissions from 50 countries, of which only 7% are included in this book. This reflects our care in selecting those contributions. These papers were selected by the conference chairs and their selection is based on a number of criteria that include the classifications and comments provided by the Program Committee members, the session chairs’ assessment, and the program chairs’ meta review of the papers that were included in the technical program. The authors of selected papers were invited to submit a revised, extended, and improved version of their conference paper, including at least 30% new material.
The purpose of the BIOSTEC joint conferences is to bring together researchers and practitioners, including engineers, biologists, health professionals, and informatics/ computer scientists. Research presented at BIOSTEC included both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics, and other engineering tools in areas related to advancing biomedical research and improving healthcare.
These advances and improvements are to answer modern requests relevant in the medical field that have not been evolving as rapidly as in other fields. Different examples can be made: aviation evolved from the first flight of the Wright brothers in 1903 to the current tests for commercial space flights; the automotive evolved from the first model-T by Ford in 1908 to the current electric motor Model 3 by Tesla; radio-communications evolved from the bulky radio stations by Marconi company in 1897 to the current foldable smartphone models Mate X and Galaxy X by Huawei and Samsung, respectively. Conversely, the hospital model is pretty similar today as it was in the seventeenth century: rooms with beds where patients are lying down and medical doctors come to visit. Fortunately, new technologies are continuously evolving, allowing medical doctors to count on new and more objective measures of biomarkers for different pathologies (objectively-based rather than subjectively-based diagnostics), medical treatments that are considerable more focused on the individual rather than the pathology (personalized medicine), and new wearable technology for non-invasive measures to allow for telemedicine, without forcing the patient to go every-time to the hospital (home-care treatment).
Within Medical Imaging, there is a continued rapid development in using large datasets and high computational processes in data analysis and evaluation. Artificial Intelligence interests have increased significantly to the point where large multinational companies are significantly investing in developing products that could potentially automate some of the work done at clinical level. I think in the future there will be two major disruptive scientific developments within the world of Medical Imaging. One, mentioned above, is the use of artificial intelligence in medical imaging systems. The other is the integration of targeted contrast or therapeutic agents that will provide some functional imaging or therapeutic component to anatomical imaging and may be very disease specific.
Within this framework, this book includes different, meaningful contributions, from new technologies for objective measurements, to new algorithms to manage medical records, to predictive algorithms, and so forth.
We would like to thank all the authors for their contributions and also to the reviewers who have helped to ensure the quality of this publication.
BIOSTEC 2018 received 344 paper submissions from 50 countries, of which only 7% are included in this book. This reflects our care in selecting those contributions. These papers were selected by the conference chairs and their selection is based on a number of criteria that include the classifications and comments provided by the Program Committee members, the session chairs’ assessment, and the program chairs’ meta review of the papers that were included in the technical program. The authors of selected papers were invited to submit a revised, extended, and improved version of their conference paper, including at least 30% new material.
The purpose of the BIOSTEC joint conferences is to bring together researchers and practitioners, including engineers, biologists, health professionals, and informatics/ computer scientists. Research presented at BIOSTEC included both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics, and other engineering tools in areas related to advancing biomedical research and improving healthcare.
These advances and improvements are to answer modern requests relevant in the medical field that have not been evolving as rapidly as in other fields. Different examples can be made: aviation evolved from the first flight of the Wright brothers in 1903 to the current tests for commercial space flights; the automotive evolved from the first model-T by Ford in 1908 to the current electric motor Model 3 by Tesla; radio-communications evolved from the bulky radio stations by Marconi company in 1897 to the current foldable smartphone models Mate X and Galaxy X by Huawei and Samsung, respectively. Conversely, the hospital model is pretty similar today as it was in the seventeenth century: rooms with beds where patients are lying down and medical doctors come to visit. Fortunately, new technologies are continuously evolving, allowing medical doctors to count on new and more objective measures of biomarkers for different pathologies (objectively-based rather than subjectively-based diagnostics), medical treatments that are considerable more focused on the individual rather than the pathology (personalized medicine), and new wearable technology for non-invasive measures to allow for telemedicine, without forcing the patient to go every-time to the hospital (home-care treatment).
Within Medical Imaging, there is a continued rapid development in using large datasets and high computational processes in data analysis and evaluation. Artificial Intelligence interests have increased significantly to the point where large multinational companies are significantly investing in developing products that could potentially automate some of the work done at clinical level. I think in the future there will be two major disruptive scientific developments within the world of Medical Imaging. One, mentioned above, is the use of artificial intelligence in medical imaging systems. The other is the integration of targeted contrast or therapeutic agents that will provide some functional imaging or therapeutic component to anatomical imaging and may be very disease specific.
Within this framework, this book includes different, meaningful contributions, from new technologies for objective measurements, to new algorithms to manage medical records, to predictive algorithms, and so forth.
We would like to thank all the authors for their contributions and also to the reviewers who have helped to ensure the quality of this publication.
Original language | English |
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Publisher | Springer Nature |
Number of pages | 526 |
ISBN (Electronic) | 978-3-030-29196-9 |
ISBN (Print) | 978-3-030-29195-2 |
DOIs | |
Publication status | Published - 13 Aug 2019 |
Event | 11th International Conference on Health Informatics, HEALTHINF 2018: Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal Duration: 19 Jan 2018 → 21 Jan 2018 |
Publication series
Name | Communications in Computer and Information Science |
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Publisher | Springer Nature |
Volume | 1024 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |