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Τίτλος: Exploitation of Emerging Technologies and Advanced Networks for a Smart Healthcare System
Συγγραφείς: Minopoulos, Georgios
Memos, Vasileios A.
Stergiou, Christos
Stergiou, Konstantinos D.
Plageras, Andreas P.
Koidou, Maria P.
Psannis, Kostas E.
Τύπος: Article
Θέματα: FRASCATI::Engineering and technology
Λέξεις-Κλειδιά: advanced networks
emerging technologies
medical sector
smart healthcare
Ημερομηνία Έκδοσης: 2022
Εκδότης: MDPI
Πηγή: Applied Sciences
Τόμος: 12
Τεύχος: 12
Πρώτη Σελίδα: 5859
Τίτλος Τόμου: Application of Data Analytics in Smart Healthcare
Επιτομή: Current medical methods still confront numerous limitations and barriers to detect and fight against illnesses and disorders. The introduction of emerging technologies in the healthcare industry is anticipated to enable novel medical techniques for an efficient and effective smart healthcare system. Internet of Things (IoT),Wireless Sensor Networks (WSN), Big Data Analytics (BDA), and Cloud Computing (CC) can play a vital role in the instant detection of illnesses, diseases, viruses, or disorders. Complicated techniques such as Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) could provide acceleration in drug and antibiotics discovery. Moreover, the integration of visualization techniques such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) with Tactile Internet (TI), can be applied from the medical staff to provide the most accurate diagnosis and treatment for the patients. A novel system architecture, which combines several future technologies, is proposed in this paper. The objective is to describe the integration of a mixture of emerging technologies in assistance with advanced networks to provide a smart healthcare system that may be established in hospitals or medical centers. Such a system will be able to deliver immediate and accurate data to the medical stuff in order to aim them in order to provide precise patient diagnosis and treatment.
URI: https://doi.org/10.3390/app12125859
https://ruomo.lib.uom.gr/handle/7000/1528
ISSN: 2076-3417
Αλλοι Προσδιοριστές: 10.3390/app12125859
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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