Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients’ responses
Abstract Background Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic biases and ethical challenges hinder patient acceptance. This study examined the effects of proactive versus passive algorithmic ethics practices on patient responses across different healthca...
Saved in:
| Main Authors: | Sheng Shu, Qinglin Luo, Zhiqing Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | BMC Medical Ethics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12910-025-01236-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence in mental healthcare: transformative potential vs. the necessity of human interaction
by: Anithamol Babu, et al.
Published: (2024-12-01) -
Ethical-legal implications of AI-powered healthcare in critical perspective
by: Mohammad Nasir, et al.
Published: (2025-07-01) -
Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare
by: Eleni Gkiolnta, et al.
Published: (2025-01-01) -
Navigating the privacy landscape of healthcare-driven AI in the Middle East: Case studies from Oman, Qatar, and Saudi Arabia
by: Moufid El-Khoury, et al.
Published: (2025-01-01) -
Privacy-utility tradeoff method using multi-variable source coding
by: Yong-hao GU, et al.
Published: (2015-12-01)