{"title":"Navigating the Ethical Landscape of AI in Healthcare: Insights From a Content Analysis","authors":"Yin Wu;Xiang Michelle Liu","doi":"10.1109/MTS.2023.3306543","DOIUrl":null,"url":null,"abstract":"The application of artificial intelligence (AI) in healthcare has gained tremendous popularity over recent years, given its enormous potential for strengthening the quality and efficiency of healthcare services on a global scale. However, the deployment of AI in healthcare comes with both benefits and risks for patients, healthcare professionals, and the whole society. Ethical concerns, such as how to prevent AI from perpetuating preexisting health disparities while incorporating its full potential in a traditional medical setting, have been pointed out by many researchers and policymakers \n<xref>[1]</xref>\n, \n<xref>[2]</xref>\n. As regulatory frameworks and guidelines concerning ethical issues have been published by many organizations, there is a pressing need to present an overview of existing documents to see what has been achieved and what has yet to be emphasized in the field of AI health-related applications.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10260729/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
The application of artificial intelligence (AI) in healthcare has gained tremendous popularity over recent years, given its enormous potential for strengthening the quality and efficiency of healthcare services on a global scale. However, the deployment of AI in healthcare comes with both benefits and risks for patients, healthcare professionals, and the whole society. Ethical concerns, such as how to prevent AI from perpetuating preexisting health disparities while incorporating its full potential in a traditional medical setting, have been pointed out by many researchers and policymakers
[1]
,
[2]
. As regulatory frameworks and guidelines concerning ethical issues have been published by many organizations, there is a pressing need to present an overview of existing documents to see what has been achieved and what has yet to be emphasized in the field of AI health-related applications.
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