Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://elar.urfu.ru/handle/10995/117798
Название: | Industry 4.0 and Digitalisation in Healthcare |
Авторы: | Popov, V. V. Kudryavtseva, E. V. Katiyar, N. K. Shishkin, A. Stepanov, S. I. Goel, S. |
Дата публикации: | 2022 |
Издатель: | MDPI |
Библиографическое описание: | Industry 4.0 and Digitalisation in Healthcare / V. V. Popov, E. V. Kudryavtseva, N. K. Katiyar et al. // Materials. — 2022. — Vol. 15. — Iss. 6. — 2140. |
Аннотация: | Industry 4.0 in healthcare involves use of a wide range of modern technologies including digitisation, artificial intelligence, user response data (ergonomics), human psychology, the Internet of Things, machine learning, big data mining, and augmented reality to name a few. The healthcare industry is undergoing a paradigm shift thanks to Industry 4.0, which provides better user comfort through proactive intervention in early detection and treatment of various diseases. The sector is now ready to make its next move towards Industry 5.0, but certain aspects that motivated this review paper need further consideration. As a fruitful outcome of this review, we surveyed modern trends in this arena of research and summarised the intricacies of new features to guide and prepare the sector for an Industry 5.0-ready healthcare system. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Ключевые слова: | BIG DATA DIGITALISATION HEALTHCARE INDUSTRY 4.0 INTERNET OF THINGS ARTIFICIAL INTELLIGENCE AUGMENTED REALITY BIG DATA DATA MINING ERGONOMICS HEALTH CARE INTERNET OF THINGS DIGITALIZATION DIGITISATION HEALTHCARE INDUSTRY HEALTHCARE SYSTEMS HUMAN PSYCHOLOGY MODERN TECHNOLOGIES PARADIGM SHIFTS RESPONSE DATA REVIEW PAPERS USER COMFORTS INDUSTRY 4.0 |
URI: | http://elar.urfu.ru/handle/10995/117798 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85126956702 |
Идентификатор WOS: | 000775033500001 |
Идентификатор PURE: | 29929500 |
ISSN: | 19961944 |
DOI: | 10.3390/ma15062140 |
Сведения о поддержке: | CA15102, CA16235, CA18125, CA18224; European Association of National Metrology Institutes, EURAMET: EMPIR A185; UK Research and Innovation, UKRI: EP/L016567/1, EP/S013652/1, EP/S036180/1, EP/T001100/1, EP/T024607/1, EP/V026402/1; Royal Academy of Engineering, RAENG: IAPP18-19\295, TSP1332; Royal Society: NIF\R1\191571 Acknowledgments: We greatly acknowledge the financial support provided by the UKRI via Grants No. EP/L016567/1, EP/S013652/1, EP/S036180/1, EP/T001100/1 and EP/T024607/1, Transformation Foundation Industries NetworkPlus feasibility study award to LSBU (EP/V026402/1), the Royal Academy of Engineering via Grants No. IAPP18-19\295 and TSP1332, EURAMET EMPIR A185 (2018), the EU Cost Action (CA15102, CA18125, CA18224 and CA16235) and the Newton Fellowship award from the Royal Society (NIF\R1\191571). Wherever applicable, the work made use of Isambard Bristol, UK supercomputing service accessed by a Resource Allocation Panel (RAP) grant as well as ARCHER2 resources (Project e648). |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
2-s2.0-85126956702.pdf | 2,38 MB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.