Navigating the Ethical Landscape of AI in Healthcare
Insights From a Content Analysis
Bibliographic Data
| ID | 20362116 |
|---|---|
| Authors | Yin Wu (0000-0002-6364-4597, Marymount University), Xiang Michelle Liu (0000-0002-1801-3171, Marymount University) |
| Year | 2023 |
| Volume | 42 |
| Issue | 3 |
| Pages | 76-87 |
| Publication date | 2023-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Technology and Society Magazine (JOURNAL) |
| Journal identifiers | ISSN: 0278-0097 • E-ISSN: 1937-416X |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/mts.2023.3306543 |
| OpenAlex | W4386952190 |
| Language | EN |
| References cited | 26 |
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
Health care · Political science · Popularity · Public relations · Software deployment · Software engineering · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Ethics in Clinical Research · Law
Using Software in Qualitative Research
Analyzing Qualitative Data with MAXQDA
Managing the Message
Principled Artificial Intelligence
The Ethics of AI Ethics
The PRISMA 2020 statement
The global landscape of AI ethics guidelines
Content analysis and thematic analysis
The Discovery of Grounded Theory
The Sage Handbook of Grounded Theory
The ethics of AI in health care
Reducing Confusion about Grounded Theory and Qualitative Content Analysis
Three Approaches to Qualitative Content Analysis
| Highly cited | No |
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