Open Access
Peer-Reviewed
Original Research
Ethical Considerations in AI-Driven Predictive Diagnostics
A Policy Proposal
Abstract
This paper explores the ethical dimensions of deploying AI in diagnostic medicine, particularly focusing on bias, transparency, and accountability.
Keywords
Bioethics
AI
Diagnostics
Policy
Declarations & Ethics
Funding:
Self-funded.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Chen, et al. (2026). Ethical Considerations in AI-Driven Predictive Diagnostics. International Journal of Bioethics & Health Policy, 1(1). https://doi.org/10.1234/ijbhp.2026.010101
Chen, et al. "Ethical Considerations in AI-Driven Predictive Diagnostics." International Journal of Bioethics & Health Policy, vol. 1, no. 1, 2026. https://doi.org/10.1234/ijbhp.2026.010101
Chen, et al. "Ethical Considerations in AI-Driven Predictive Diagnostics." International Journal of Bioethics & Health Policy 1, no. 1 (2026). https://doi.org/10.1234/ijbhp.2026.010101