Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review

被引:10
|
作者
Kitsios, Fotis [1 ]
Kamariotou, Maria [1 ]
Syngelakis, Aristomenis I. [2 ,3 ]
Talias, Michael A. [4 ]
机构
[1] Univ Macedonia, Dept Appl Informat, 156 Egnatia Str, Thessaloniki 54636, Greece
[2] European Univ Cyprus, Sch Dent, CY-1516 Nicosia, Cyprus
[3] Natl & Kapodistrian Univ Athens, Fac Dent, 2 Thivon Str, Athens 11527, Greece
[4] Open Univ Cyprus, Fac Econ & Management, POB 12794, CY-2252 Nicosia, Cyprus
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 13期
关键词
artificial intelligence; digital health; healthcare; healthcare systems; literature review; VIRTUE ETHICS; COVID-19; AI; NETWORK; FUTURE; SEGMENTATION; ADAPTATION; CHALLENGES; BLOCKCHAIN; PREDICT;
D O I
10.3390/app13137479
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The implementation of artificial intelligence (AI) is driving significant transformation inside the administrative and clinical workflows of healthcare organizations at an accelerated rate. This modification highlights the significant impact that AI has on a variety of tasks, especially in health procedures relating to early detection and diagnosis. Papers done in the past imply that AI has the potential to increase the overall quality of services provided in the healthcare industry. There have been reports that technology based on AI can improve the quality of human existence by making life simpler, safer, and more productive. A comprehensive analysis of previous scholarly research on the use of AI in the health area is provided in this research in the form of a literature review. In order to propose a classification framework, the review took into consideration 132 academic publications sourced from scholarly sources. The presentation covers both the benefits and the issues that AI capabilities provide for individuals, medical professionals, corporations, and the health industry. In addition, the social and ethical implications of AI are examined in the context of the output of value-added medical services for decision-making processes in healthcare, privacy and security measures for patient data, and health monitoring capabilities.
引用
收藏
页数:22
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