Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add filters

Database
Language
Document Type
Year range
1.
Int J Environ Res Public Health ; 19(18)2022 Sep 10.
Article in English | MEDLINE | ID: covidwho-2032936

ABSTRACT

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.


Subject(s)
COVID-19 , Telemedicine , Artificial Intelligence , COVID-19/epidemiology , Delivery of Health Care , Humans , Pandemics
SELECTION OF CITATIONS
SEARCH DETAIL