2023
DOI: 10.58496/mjaih/2023/013
|View full text |Cite
|
Sign up to set email alerts
|

The Modern Impact of Artificial Intelligence Systems in Healthcare: A Concise Analysis

Habeeb Omotunde,
Mourad R. Mouhamed

Abstract: Artificial intelligence systems are receiving significant attention in the healthcare domain because they have a considerable impact on the development of patients' electronic medical records (EMRs). Artificial intelligence systems have the ability to develop healthcare institutions and assist physicians in making the proper decisions. These systems have the ability to perform diagnosis, provide appropriate treatment, and perform administrative tasks in hospitals. Healthcare institutions seek to integrate hosp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 16 publications
0
0
0
Order By: Relevance
“…Other usefulness of machine learning in healthcare includes optimizing hospital resource allocation, reducing wait times, and improving appointment scheduling efficiency. Furthermore, machine learning techniques are involved in analyzing medical and electronic records and finding patterns that can be utilized in patient treatment to achieve better results [30][31][32]. The main contribution of this research study is as follows: 1-The medical data employed for training algorithms are obtained from the UC Irvine machine learning repository, which is a trustworthy source of information.…”
Section: Figure 1 -Disease Statistics From 1990 To 2019mentioning
confidence: 99%
“…Other usefulness of machine learning in healthcare includes optimizing hospital resource allocation, reducing wait times, and improving appointment scheduling efficiency. Furthermore, machine learning techniques are involved in analyzing medical and electronic records and finding patterns that can be utilized in patient treatment to achieve better results [30][31][32]. The main contribution of this research study is as follows: 1-The medical data employed for training algorithms are obtained from the UC Irvine machine learning repository, which is a trustworthy source of information.…”
Section: Figure 1 -Disease Statistics From 1990 To 2019mentioning
confidence: 99%
“…The promising potential of AI in healthcare was evident in several studies [2,4,12,13]. For example, AI based models such as ChatGPT were shown to accurately respond to health queries, offering personalized information in a diverse range of health topics [2,14,15].…”
Section: Introductionmentioning
confidence: 99%