A systematic review of artificial intelligence-based methods in healthcare
نویسندگان
چکیده
Artificial intelligence (AI) in healthcare has enormous potential for transforming healthcare. AI is the ability of machines to learn and exhibit close human levels cognition various specific ways. Leveraging software support activities will improve patient satisfaction which inextricably tied length time patients spend waiting queues. Literature searches were conducted PubMed, Research Gate, BMC Health Services Research, JMIR Publications Cochrane Central find related documentation that was published between January 2011 April 2021. The studies featured reported on technologies had been used primary, secondary, or tertiary situations directed towards reducing times. A total 22 articles primarily used, including 8 retrospective studies, 4 prospective 3 case-control studies. have creation a future with more reliable systems. It however clear field are required validate existing evidence its potential. crucial patients' at facilities. use can also help outcomes research should be geared toward that.
منابع مشابه
Artificial Intelligence in Healthcare
The article is a letter to the editor, so it has no abstract.
متن کاملArtificial Intelligence in Healthcare
The article is a letter to the editor, so it has no abstract.
متن کاملEmpirical Methods in Artificial Intelligence: A Review
behavior) and analysis of variance, including methods for detecting interactions among variables. A chapter on modeling covers the use of linear regression and related procedures in characterizing system behavior, and the final chapter presents tactics for generalizing from empirical results. One of Cohen’s most important points concerns the goals of empirical AI research. Repeatedly, he asks w...
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ژورنال
عنوان ژورنال: International Journal of Public Health Science
سال: 2023
ISSN: ['2252-8806', '2620-4126']
DOI: https://doi.org/10.11591/ijphs.v12i3.22298