ETHICS AND ACCEPTANCE OF AI
2024
Acceptance of AI in Healthcare
publication
Author Information
Author(s): Cotten Shelia, Khan Aishah, Mobley Catherine, Jing Xia, Obeid Jihad, Goodrich Grant, Baker Hamilton, Hubig Nina
Primary Institution: Clemson University
Hypothesis
Stakeholder acceptance of AI-enabled devices in healthcare is crucial for their successful integration.
Conclusion
The study identifies challenges to AI integration in healthcare and offers suggestions to improve acceptance and address ethical concerns.
Supporting Evidence
- AI applications have proliferated in the last 18 months.
- AI tools are being integrated into healthcare processes.
- Acceptance of AI is crucial for its success in healthcare.
Takeaway
People need to trust and accept AI tools in healthcare for them to work well. This study looks at how different groups feel about using AI.
Methodology
A scoping review assessing stakeholder acceptance of AI-enabled devices.
Participant Demographics
Stakeholders including patients and healthcare providers.
Digital Object Identifier (DOI)
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