A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Telemedicine
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
Ijerph191811413
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