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001-es BibID:	BIBFORM103756
035-os BibID:	(Cikkazonosító)11413 (WOS)000856455100001 (Scopus)85138398199
Első szerző:	Pap, Iuliu Alexandru
Cím:	A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence / Iuliu Alexandru Pap, Stefan Oniga
Dátum:	2022
ISSN:	1661-7827 1660-4601
Megjegyzések:	Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare issues have been exacerbated, highlighting the paramount need to provide both reliable and affordable health services to remote locations by using the latest technologies such as video conferencing, data management, the secure transfer of patient information, and efficient data analysis tools such as machine learning algorithms. In the constant struggle to offer healthcare to everyone, many modern technologies find applicability in eHealth, mHealth, telehealth or telemedicine. Through this paper, we attempt to render an overview of what different technologies are used in certain healthcare applications, ranging from remote patient monitoring in the field of cardio-oncology to analyzing EEG signals through machine learning for the prediction of seizures, focusing on the role of artificial intelligence in eHealth.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk eHealth mHealth telehealth telemedicine remote patient monitoring Internet of Things brain-computer interface artificial intelligence machine learning deep learning
Megjelenés:	International Journal of Environmental Research and Public Health. - 19 : 18 (2022), p. 1-15. -
További szerzők:	Oniga István László (1960-) (villamosmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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