Smart Computing and Emerging Technologies
Ethical Considerations in AI for Healthcare: Addressing Bias, Privacy, and Accountability in AI Models for Medical Decision-Making
Authors: R. Vijaya Prakash, G. Swamy Reddy and Shirisha Balle
Publishing Date: 29-10-2025
ISBN: 978-81-975670-0-1
Abstract
The integration of Artificial Intelligence (AI) in healthcare brings significant advancements but raises ethical concerns regarding bias, privacy, and accountability in medical decisionmaking. The research examines ethical problems of medical AI models through a scientometric study of AI technology impacting healthcare fairness and data privacy. This research reviews articles from 2020-2025 analyzing moral challenges AI creates in healthcare settings. VOSviewer and CiteSpace bibliometric tools analyzed 643 documents from 475 journals, books and conference papers. The study measured field publications and authors through h-index metrics and citation analysis. The assessment shows increasing awareness about privacy risks and algorithmic discrimination affecting minority groups. Most co-authorships in healthcare research involve international authors exceeding 28%. This research demonstrates why healthcare needs safe AI implementation. It calls for ethical frameworks ensuring fairness, transparency, and accountability in AI-driven medical decisions, to mitigate biases and privacy issues while improving outcomes.
Keywords
Artificial Intelligence, Healthcare, Ethical Considerations, Bias, Privacy, Accountability, Medical Decision-Making, AI Models, Bibliometric Analysis
Cite as
R. Vijaya Prakash, G. Swamy Reddy and Shirisha Balle, "Ethical Considerations in AI for Healthcare: Addressing Bias, Privacy, and Accountability in AI Models for Medical Decision-Making", In: Himanshu Mittal (eds), Smart Computing and Emerging Technologies, SCRS, India, 2025, pp. 10-20. https://doi.org/10.56155/978-81-975670-0-1-2